SlideShare una empresa de Scribd logo
1 de 997
Descargar para leer sin conexión
Table of Contents
Preface               32
   About On-line Help ................................................................................. 32
   Acknowledgments .................................................................................. 32
Product Information                                                                                                                33
   Contacting NeuroDimension.................................................................... 33
   NeuroSolutions Technical Support ........................................................... 34
   NeuroDimension Products and Services .................................................. 35
   Level Restrictions ................................................................................... 39
   Evaluation Mode..................................................................................... 40
   NeuroSolutions Pricing ........................................................................... 40
   NeuroSolutions University Site License Pricing ......................................... 41
   Ordering Information ............................................................................... 41
Getting Started                                                                                                                    42
   System Requirements............................................................................. 42
   Running the Demos ................................................................................ 42
   What to do after Running the Demos ....................................................... 45
   Frequently Asked Questions (FAQ) ......................................................... 45
   Terms to Know....................................................................................... 50
       Main Window ................................................................................... 50
       Inspector.......................................................................................... 51
       Breadboards .................................................................................... 52
       Neural Components.......................................................................... 53
       Toolbars and Palettes ....................................................................... 53
       Selection and Stamping Modes ......................................................... 54
       Temporary License........................................................................... 54
   Menus & Toolbars .................................................................................. 55
       File Menu & Toolbar Commands ....................................................... 55
       Edit Menu & Toolbar Commands ....................................................... 56
       Alignment Menu & Toolbar Commands .............................................. 57
       Windows Menu & Toolbar Commands .............................................. 58
       Component Menu ............................................................................. 59
       Tools ............................................................................................... 59
            Tools Menu Commands .............................................................. 59
            Control Menu & Toolbar Commands ............................................ 61
            Macro Menu & Toolbar Commands ............................................. 62
            Customize Toolbars Page ........................................................... 63
   Component Palettes......................................................................................................................................63
   Command Toolbars .......................................................................................................................................64
          Customize Buttons Page............................................................. 65
      View ................................................................................................ 66
          View Menu ................................................................................. 66
          Macro Bars ................................................................................ 66
          Status Bar.................................................................................. 68
      Help................................................................................................. 69
          Help Menu & Toolbar Commands ................................................ 69
          Activate Software Panel .............................................................. 70
   User Options .......................................................................................... 71
      Options Window ............................................................................... 71
      Options Workspace Page.................................................................. 72



                                                                                                                                                           1
Options Save Page........................................................................... 73
  Examples ............................................................................................... 74
     Example 1 - Toolbar Manipulation...................................................... 74
     Example 2 - Component Manipulation................................................ 74
     Example 3 - Inspecting a Component's Parameters ............................ 75
Simulations                                                                                              76
  Simulations ............................................................................................ 76
  Introduction to Neural Network Simulations .............................................. 77
       What Are Artificial Neural Networks ................................................... 77
       A Prototype Problem......................................................................... 78
  Ingredients of a Simulation ...................................................................... 79
       Formulation of the problem................................................................ 79
       Data Collection and Coding ............................................................... 79
       Getting Data into the Network ............................................................ 80
       Cross Validation ............................................................................... 81
       Network Topology ............................................................................ 82
       Network Training .............................................................................. 84
       Probing ............................................................................................ 86
       Running the Simulation ..................................................................... 86
Concepts         86
  Concepts ............................................................................................... 86
  NeuroSolutions Structure ........................................................................ 87
     NeuroSolutions Structure .................................................................. 87
     Palettes ........................................................................................... 87
     Breadboard...................................................................................... 88
  NeuroSolutions Graphical User Interface (GUI) ........................................ 89
     NeuroSolutions Graphical User Interface (GUI) .................................. 89
     Logic of the Interface........................................................................ 89
     Components .................................................................................... 90
     The Inspector................................................................................... 90
     Single-Click vs. Double-Click............................................................. 91
     File Open Dialog Box ........................................................................ 92
     Save As Dialog Box .......................................................................... 92
     Toolbars and Palettes ....................................................................... 92
     Title Bar........................................................................................... 93
     Scroll Bars ....................................................................................... 93
     Network Construction ....................................................................... 94
          Network Construction ................................................................. 94
          Stamping ................................................................................... 94
          Manipulating Components........................................................... 94
          Replacing Axons and Synapses .................................................. 95
          Connectors ................................................................................ 95
          Cabling ...................................................................................... 96
          Stacking..................................................................................... 97
     Network Access ............................................................................... 97
          Network Access ......................................................................... 97
          Probes ....................................................................................... 98
          Data Input/Output ....................................................................... 99
          Transmitters and Receivers ........................................................100
     Network Simulation..........................................................................100
          Network Simulation....................................................................100
     Application Window Commands .......................................................100




  2
Size command (System menu)                                                                           100

Move command (Control menu)                                                                          101
             Minimize command (application Control menu)............................101
Maximize command (System menu)                                                                       101

Close command (Control menus)                                                                        101

Restore command (Control menu)                                                                       102
Switch to command (application Control menu)                                                         102
  Generating Source Code .......................................................................103
      Generating Source Code .................................................................103
  Customized Components .......................................................................103
      Customized Components .................................................................103
  Testing the Network ...............................................................................104
      The TestingWizard ..........................................................................104
      Freezing the Network Weights..........................................................104
      Cross Validation ..............................................................................104
      Production Data Set.........................................................................105
      Sensitivity Analysis..........................................................................105
      Confusion Matrix .............................................................................105
      Correlation Coefficient .....................................................................106
      ROC Matrix .....................................................................................107
      Performance Measures ....................................................................108
  Practical Simulation Issues.....................................................................109
      Practical Simulation Issues...............................................................109
      Associating a File Extension with an Editor........................................110
      Data Preparation .............................................................................110
      Normalization File............................................................................111
      Forms of Backpropagation ...............................................................112
      Probing ...........................................................................................113
      Saving and Fixing Network Weights..................................................113
      Weights File ....................................................................................113
      Saving Network Data .......................................................................118
      Stop Criteria ....................................................................................118
      Constructing Learning Dynamics ......................................................118
      Simulating Recurrent Networks ........................................................119
      Component Naming Conventions .....................................................119
      Coordinating Unsupervised and Supervised Learning ........................121
  Organization of NeuroSolutions ..............................................................121
      Organization of NeuroSolutions ........................................................121
      Activation Family .............................................................................122
      Activation Family .............................................................................122
          Axon Family ..............................................................................124
          MemoryAxon Family ..................................................................125
          FuzzyAxon Family .....................................................................127
      ErrorCriteria Family .........................................................................128
          Synapse Family.........................................................................130
      Backprop Family..............................................................................131
      Backprop Family..............................................................................131
          BackAxon Family.......................................................................132
          BackMemoryAxon Family...........................................................134
          BackSynapse Family .................................................................136



                                                                                                               3
GradientSearch Family ....................................................................137
            GradientSearch Family ..............................................................137
        Controls Family ...............................................................................139
            Controls Family .........................................................................139
            ActivationControl Family ............................................................140
            BackpropControl Family.............................................................142
        Unsupervised Family .......................................................................143
            Unsupervised Family .................................................................143
            Hebbian Family .........................................................................144
            Competitive Family ....................................................................145
            Kohonen Family ........................................................................146
        Probe Family...................................................................................147
            Probe Family.............................................................................147
        Input Family ....................................................................................148
        Input Family ....................................................................................148
        Transmitter Family...........................................................................149
        Transmitter Family...........................................................................149
        Schedule Family..............................................................................150
        Schedule Family..............................................................................150
Introduction to Neural Computation                                                                    151
   Introduction to NeuroComputation ..........................................................151
   Introduction to Neural Computation.........................................................152
        Introduction to NeuroComputation ....................................................152
        History of Neural Networks...............................................................152
        What are Artificial Neural Networks...................................................153
        Neural Network Solutions .................................................................154
   Neural Network Analysis ........................................................................155
        Neural Network Analysis ..................................................................155
        Neural Network Taxonomies ............................................................157
        Learning Paradigms.........................................................................159
             Learning Paradigms...................................................................159
             Cost Function ............................................................................160
             Gradient Descent ......................................................................161
        Constraining the Learning Dynamics.................................................166
             Constraining the Learning Dynamics...........................................166
   Practical Issues of Learning ...................................................................168
        Practical Issues of Learning .............................................................168
        Training Set ....................................................................................168
        Network Size...................................................................................169
        Learning Parameters .......................................................................169
        Stop Criteria ....................................................................................170
   Unsupervised Learning ..........................................................................171
        Unsupervised learning .....................................................................171
   Support Vector Machines .......................................................................174
        Support Vector Machines .................................................................174
   Dynamic Networks.................................................................................176
        Dynamic Networks...........................................................................176
   Famous Neural Topologies ....................................................................177
        Famous Neural Topologies ..............................................................177
        Perceptron ......................................................................................177
        Multilayer Perceptron .......................................................................178
        Madaline .........................................................................................180
        Radial Basis Function Networks .......................................................180
        Associative Memories ......................................................................181
        Jordan/Elman Networks ...................................................................182



   4
Hopfield Network .............................................................................183
        Principal Component Analysis Networks ...........................................184
        Kohonen Self-Organizing Maps (SOFM) ...........................................185
        Adaptive Resonance Theory (ART) ..................................................187
        Fukushima ......................................................................................187
        Time Lagged Recurrent Networks.....................................................187
Tutorials        190
   Tutorials Chapter ...................................................................................190
   Running NeuroSolutions ........................................................................190
   Signal Generator Example .....................................................................191
        Signal Generator Example ...............................................................191
        Construction Rules ..........................................................................192
        Stamping Components ....................................................................193
        On-line Help ....................................................................................193
        Connectors .....................................................................................193
        Selecting and Configuring a Component ...........................................194
        Arranging Icons ...............................................................................194
        Connecting Components..................................................................195
        The Cursor......................................................................................195
        Component Compatibility .................................................................195
        Bringing in the Function Generators ..................................................196
        Stacking Components......................................................................196
        Accessing the Component Hierarchy ................................................197
        Access Points .................................................................................198
        Displaying the Output Waveform ......................................................198
        Opening the Display Window............................................................199
        Controlling Data Flow ......................................................................199
        Configuring the Controller ................................................................199
        Running the Signal Generator Example ............................................200
        Things to Try with the Signal Generator ............................................201
        What You have Learned from the Signal Generator Example .............202
   Combination of Data Sources Example ...................................................203
        Combination of Data Sources Example .............................................203
        Constructing a McCulloch-Pitts Processing Element ..........................203
        Preparing Files for Input into NeuroSolutions .....................................204
        Things to Try with the Combination of Data Sources Example ............206
        What You have Learned from the Combination of Data Sources Example207
   The Perceptron and Multilayer Perceptron ..............................................207
        Perceptron and Multilayer Perceptron Example .................................207
        Perceptron Topology .......................................................................207
        Constructing the Learning Dynamics of a Perceptron .........................208
        Alternate Procedure for Constructing the Learning Dynamics of a Perceptron 210
        Selecting the Learning Paradigm......................................................211
        Running the Perceptron ...................................................................212
        MLP Construction ............................................................................213
        Running the MLP .............................................................................214
        Things to Try with the Perceptron and Multilayer Perceptron Example 215
        What You have Learned from the Perceptron and Multilayer Perceptron Example
        ......................................................................................................216
   Associator Example ...............................................................................217
        Associator Example .........................................................................217
        Building the Associator ....................................................................217
        Things to Try with the Associator ......................................................221
        What you have Learned from the Associator Example .......................221
   Filtering Example...................................................................................222



                                                                                                                    5
Filtering Example.............................................................................222
    Constructing A Linear Filter..............................................................222
    Things to Try with the Linear Filter....................................................224
    Adaptive Network Construction.........................................................225
    Running the Adaptive Network .........................................................225
    Things to Try with the Adaptive Network ...........................................226
    What You have Learned from the Filter Example ...............................229
Recurrent Neural Network Example ........................................................229
    Recurrent Neural Network Example ..................................................229
    Creating the Recurrent Topology ......................................................229
    Fixed Point Learning ........................................................................231
    Running the Recurrent Network ........................................................232
    Things to Try with the Recurrent Network ..........................................234
    What You have Learned from the Recurrent Network Example...........237
Frequency Doubler Example ..................................................................237
    Frequency Doubler Example ............................................................237
    Creating the Frequency Doubler Network ..........................................237
    Configuration of the Trajectory..........................................................239
    Running the Frequency Doubler Network ..........................................239
    Using the Gamma Model to Double the Frequency ............................240
    Visualizing the State Space..............................................................242
    Things to Try with the Frequency Doubler Network ............................244
    What You have Learned from the Frequency Doubler Example ..........246
Unsupervised Learning Example ............................................................247
    Unsupervised Learning Example ......................................................247
    Introduction to Unsupervised Learning ..............................................247
    Noise Reduction with Oja's or Sanger's Learning ...............................248
    Things to Try with the Unsupervised Network ....................................249
    What You have Learned from the Unsupervised Learning Example ....251
Principle Component Analysis Example ..................................................251
    Principal Component Analysis Example ............................................251
    Introduction to Principal Component Analysis....................................251
    Running the PCA Network ...............................................................251
    Things to Try with the PCA Network..................................................253
    What You have Learned from the Principal Component Analysis Example                                 253
Competitive Learning Example...............................................................253
    Competitive Learning Example.........................................................253
    Introduction to Competitive Learning .................................................253
    Constructing the Competitive Network ..............................................254
    Things to Try with the Competitive Network .......................................256
    What You have Learned from the Competitive Learning Example.......258
Kohonen Self Organizing Feature Map (SOFM) Example .........................259
    Kohonen Self Organizing Feature Map (SOFM) Example ...................259
    Introduction to SOFM Example .........................................................259
    SOFM Network Construction ............................................................259
    Running the SOFM Network .............................................................260
    Things to Try with the SOFM Network ...............................................261
    What you have Learned from the Kohonen SOFM Example ...............261
Character Recognition Example .............................................................261
    Character Recognition Example .......................................................261
    Introduction to Character Recognition Example .................................262
    Constructing the Counterpropagation Network...................................262
    Running the Counterpropagation Network .........................................263
    Things to Try with the Counterpropagation Network ...........................264
    What You have Learned from the Character Recognition Example .....265
Pattern Recognition Example .................................................................265



6
Pattern Recognition Example ...........................................................265
     Introduction to Pattern Recognition Example .....................................266
     Constructing the Pattern Recognition Network ...................................266
     Running the Pattern Recognition Network .........................................268
     What you have Learned from the Pattern Recognition Example..........269
  Time Series Prediction Example.............................................................269
     Time Series Prediction Example.......................................................269
     Introduction to Time Series Prediction Example .................................269
     Constructing the TLRN Network .......................................................270
     Running the TLRN Network ..............................................................271
     What You have Learned from the Time Series Prediction Example .....271
Neural Network Components                                                                                                         271
  Components .........................................................................................271
  Engine Family .......................................................................................272
  Activation Family ...................................................................................272
      Axon Family ....................................................................................272
           Axon.........................................................................................272
           BiasAxon ..................................................................................273
           CombinerAxon ..........................................................................274
           GaussianAxon...........................................................................275
           LinearAxon................................................................................276
           LinearSigmoidAxon ...................................................................277
           LinearTanhAxon........................................................................278
           NormalizedAxon........................................................................279
           NormalizedSigmoidAxon ............................................................280
           SigmoidAxon.............................................................................281
           SoftMaxAxon.............................................................................282
           TanhAxon .................................................................................283
           ThresholdAxon..........................................................................284
           WinnerTakeAllAxon ...................................................................285
           Access Points ...........................................................................286
  Axon Family Access Points........................................................................................................................286
                DLL Implementation...................................................................287
  Axon DLL Implementation..........................................................................................................................287
  BiasAxon DLL Implementation...................................................................................................................288
  GaussianAxon DLL Implementation.........................................................................................................288
  LinearAxon DLL Implementation...............................................................................................................289
  LinearSigmoidAxon DLL Implementation.................................................................................................290
  LinearTanhAxon DLL Implementation......................................................................................................291
  SigmoidAxon DLL Implementation............................................................................................................292
  SoftMaxAxon DLL Implementation............................................................................................................292
  TanhAxon DLL Implementation.................................................................................................................293
  ThresholdAxon DLL Implementation........................................................................................................294
  WinnerTakeAllAxon DLL Implementation ................................................................................................295
                Examples ..................................................................................296
  Axon Example...............................................................................................................................................296
  BiasAxon Example.......................................................................................................................................297
  GaussianAxon Example..............................................................................................................................298
  LinearAxon Example...................................................................................................................................299
  LinearSigmoidAxon Example.....................................................................................................................300
  LinearTanhAxon Example..........................................................................................................................301
  SigmoidAxon Example................................................................................................................................302
  SoftMaxAxon Example................................................................................................................................303
  TanhAxon Example.....................................................................................................................................304
  ThresholdAxon Example.............................................................................................................................305
  WinnerTakeAllAxon Example.....................................................................................................................306
                Macro Actions ...........................................................................307



                                                                                                                                                              7
Axon ...............................................................................................................................................................307
Axon Macro Actions.....................................................................................................................................307
setRows .........................................................................................................................................................308
cols .................................................................................................................................................................308
fireNext...........................................................................................................................................................308
fireNextOnReset...........................................................................................................................................309
rows ................................................................................................................................................................309
setCols ...........................................................................................................................................................309
setDimensions ..............................................................................................................................................309
setFireNext ....................................................................................................................................................310
setFireNextOnReset....................................................................................................................................310
Gaussian Axon .............................................................................................................................................311
GaussianAxon Macro Actions....................................................................................................................311
assignCenters...............................................................................................................................................311
assignVariance.............................................................................................................................................311
neighbors.......................................................................................................................................................311
setEngineData..............................................................................................................................................312
setNeighbors.................................................................................................................................................312
Linear Axon...................................................................................................................................................312
LinearAxon Macro Actions..........................................................................................................................312
beta.................................................................................................................................................................313
setBeta...........................................................................................................................................................313
setWeightMean.............................................................................................................................................313
setWeightVariance.......................................................................................................................................314
weightMean...................................................................................................................................................314
weightVariance.............................................................................................................................................314
Winner Take All Axon..................................................................................................................................314
WinnerTakeAllAxon Macro Actions...........................................................................................................314
maxWinner....................................................................................................................................................315
setMaxWinner...............................................................................................................................................315
       Inspectors .......................................................................................315
           Axon Inspector ..........................................................................315
           GaussianAxon Inspector ............................................................316
           WinnerTakeAllAxon Inspector ....................................................318
       Engine Inspector .............................................................................319
Soma Family Inspector...............................................................................................................................321
          Transfer Function Inspector........................................................322
       Drag and Drop.................................................................................323
          Axon Family Drag and Drop .......................................................323
       MemoryAxon Family ........................................................................323
          ContextAxon .............................................................................323
          GammaAxon.............................................................................324
          IntegratorAxon ..........................................................................325
          LaguarreAxon ...........................................................................326
          SigmoidContextAxon .................................................................327
          SigmoidIntegratorAxon ..............................................................328
          TanhContextAxon......................................................................329
          TanhIntegratorAxon ...................................................................330
          TDNNAxon................................................................................331
          DLL Implementation...................................................................332
ContextAxon DLL Implementation............................................................................................................332
GammaAxon DLL Implementation............................................................................................................332
IntegratorAxon DLL Implementation.........................................................................................................333
LaguarreAxon DLL Implementation ..........................................................................................................334
SigmoidContextAxon DLL Implementation..............................................................................................335
SigmoidIntegratorAxon DLL Implementation...........................................................................................336
TanhContextAxon DLL Implementation...................................................................................................337
TanhIntegratorAxon DLL Implementation................................................................................................338
TDNNAxon DLL Implementation ...............................................................................................................338
               Examples ..................................................................................339



8
IntegratorAxon Example.............................................................................................................................339
TanhIntegratorAxon Example....................................................................................................................340
SigmoidIntegratorAxon Example...............................................................................................................341
ContextAxon Example.................................................................................................................................343
SigmoidContextAxon Example..................................................................................................................344
TanhContextAxon Example........................................................................................................................345
GammaAxon Example................................................................................................................................346
LaguarreAxon Example...............................................................................................................................347
TDNNAxon Example...................................................................................................................................348
               Inspectors .................................................................................349
TDNNAxon Inspector...................................................................................................................................349
Feedback Inspector.....................................................................................................................................350
               Macro Actions ...........................................................................351
TDNN Axon...................................................................................................................................................351
TDNNAxon Macro Actions..........................................................................................................................351
setTapDelay..................................................................................................................................................352
setTaps ..........................................................................................................................................................352
tapDelay.........................................................................................................................................................352
taps.................................................................................................................................................................352
       FuzzyAxon Family ...........................................................................353
          BellFuzzyAxon ..........................................................................353
          GaussianFuzzyAxon..................................................................354
          DLL Implementation...................................................................354
GaussianFuzzyAxon DLL Implementation...............................................................................................354
BellFuzzyAxon DLL Implementation.........................................................................................................356
               Inspectors .................................................................................357
FuzzyAxon Inspector...................................................................................................................................357
       Synapse Family...............................................................................357
          ArbitrarySynapse.......................................................................357
          CombinerSynapse.....................................................................358
          ContractorSynapse....................................................................359
          ExpanderSynapse .....................................................................360
          ModularSynapse .......................................................................361
          FullSynapse ..............................................................................362
          SVMOutputSynapse ..................................................................363
          Synapse ...................................................................................363
          Access Points ...........................................................................364
Synapse Family Access Points..................................................................................................................364
               DLL Implementation...................................................................365
FullSynapse DLL Implementation.............................................................................................................365
Synapse DLL Implementation....................................................................................................................366
               Drag and Drop...........................................................................367
Synapse Family Drag and Drop.................................................................................................................367
               Inspectors .................................................................................367
ArbitrarySynapse Inspector........................................................................................................................367
CombinerSynapse Inspector......................................................................................................................369
ContractorSynapse Inspector.....................................................................................................................370
ExpanderSynapse Inspector......................................................................................................................371
ModularSynapse Inspector.........................................................................................................................371
Synapse Inspector.......................................................................................................................................372
               Macro Actions ...........................................................................373
ArbitrarySynapse..........................................................................................................................................373
ArbitrarySynapse Macro Actions ...............................................................................................................373
autoconnect...................................................................................................................................................373
disconnectAll.................................................................................................................................................374
forward...........................................................................................................................................................374
nConnections ................................................................................................................................................374
removeConnections.....................................................................................................................................375
setAutoconnect.............................................................................................................................................375
setForward....................................................................................................................................................376



                                                                                                                                                                      9
setNConnections ..........................................................................................................................................376
toggleInputNeuron.......................................................................................................................................376
toggleOutputNeuron....................................................................................................................................376
FullSynapse..................................................................................................................................................377
Synapse.........................................................................................................................................................377
Synapse Macro Actions ..............................................................................................................................377
delay...............................................................................................................................................................377
inputConnector.............................................................................................................................................377
outputConnector...........................................................................................................................................378
setDelay.........................................................................................................................................................378
       Macro Actions .................................................................................378
          Soma........................................................................................378
Soma Macro Actions ...................................................................................................................................378
networkJog....................................................................................................................................................379
networkRandomize ......................................................................................................................................379
setEngineData..............................................................................................................................................379
setWeightsFixed...........................................................................................................................................380
setWeightMean.............................................................................................................................................380
setWeightsSave ...........................................................................................................................................380
setWeightVariance.......................................................................................................................................381
weightsFixed.................................................................................................................................................381
weightMean...................................................................................................................................................381
weightsSave..................................................................................................................................................381
weightVariance.............................................................................................................................................382
Backprop Family....................................................................................382
   BackAxon Family.............................................................................382
       BackAxon .................................................................................382
       BackBiasAxon...........................................................................383
       BackCombinerAxon...................................................................384
       BackLinearAxon ........................................................................385
       BackNormalizedAxon ................................................................386
       BackNormalizedSigmoidAxon ....................................................386
       BackSigmoidAxon .....................................................................387
       BackTanhAxon ..........................................................................388
       BackCriteriaControl ...................................................................389
       BackBellFuzzyAxon...................................................................390
       BackGaussianFuzzyAxon ..........................................................391
       Access Points ...........................................................................392
BackAxon Family Access Points ...............................................................................................................392
               DLL Implementation...................................................................393
BackAxon DLL Implementation.................................................................................................................393
BackBiasAxon DLL Implementation..........................................................................................................394
BackLinearAxon DLL Implementation ......................................................................................................394
BackSigmoidAxon DLL Implementation...................................................................................................395
BackTanhAxon DLL Implementation ........................................................................................................396
BackBellFuzzyAxon DLL Implementation................................................................................................397
BackGaussianFuzzyAxon DLL Implementation......................................................................................398
               Inspectors .................................................................................400
BackLinearAxon Inspector..........................................................................................................................400
               Macro Actions ...........................................................................400
Back Linear Axon.........................................................................................................................................400
BackLinearAxon Macro Actions.................................................................................................................400
offset...............................................................................................................................................................401
setOffset........................................................................................................................................................401
       BackMemoryAxon Family.................................................................401
          BackContextAxon ......................................................................401
          BackGammaAxon .....................................................................402
          BackLaguarreAxon ....................................................................403
          BackIntegratorAxon ...................................................................404



10
BackSigmoidContextAxon ..........................................................405
              BackSigmoidIntegratorAxon .......................................................406
              BackTanhContextAxon ..............................................................406
              BackTanhIntegratorAxon ...........................................................407
              BackTDNNAxon ........................................................................408
              DLL Implementation...................................................................409
BackContextAxon DLL Implementation....................................................................................................409
BackGammaAxon DLL Implementation...................................................................................................409
BackIntegratorAxon DLL Implementation ................................................................................................410
BackLaguarreAxon DLL Implementation.................................................................................................411
BackSigmoidContextAxon DLL Implementation.....................................................................................413
BackSigmoidIntegratorAxon DLL Implementation..................................................................................413
BackTanhContextAxon DLL Implementation..........................................................................................414
BackTanhIntegratorAxon DLL Implementation.......................................................................................415
BackTDNNAxon DLL Implementation ......................................................................................................416
       BackSynapse Family .......................................................................417
          BackArbitrarySynapse ...............................................................417
          BackFullSynapse.......................................................................418
          BackSynapse............................................................................418
          DLL Implementation...................................................................419
BackFullSynapse DLL Implementation....................................................................................................419
BackSynapse DLL Implementation...........................................................................................................420
   Drag and Drop.................................................................................421
        Backprop Family Drag and Drop.................................................421
Controls Family .....................................................................................422
   StaticControl ...................................................................................422
   BackStaticControl ............................................................................423
   DynamicControl...............................................................................423
   BackDynamicControl .......................................................................425
   GeneticControl ................................................................................426
   Access Points .................................................................................427
        StaticControl Access Points .......................................................427
        GeneticControl Access Points ....................................................427
   Drag and Drop.................................................................................427
        Controls Drag and Drop .............................................................427
   Inspectors .......................................................................................428
        Exemplar Weighting Inspector ....................................................428
        Progress Display Inspector.........................................................429
        Weights Inspector......................................................................430
        StaticControl Inspector...............................................................432
        Termination Inspector ................................................................434
        DynamicControl Inspector ..........................................................435
        Iterative Prediction Inspector ......................................................436
        Backpropagation Inspector (Dynamic).........................................437
        Teacher Forcing Inspector .........................................................438
        BackStaticControl Inspector (Static)............................................439
        Code Generation Inspector ........................................................441
        Auto Macros Inspector ...............................................................443
        GeneticControl Inspector ...........................................................444
        Genetic Operators Inspector ......................................................446
        Genetic Termination Inspector....................................................449
   Windows .........................................................................................450
        Simulation Progress Window......................................................450
   Macro Actions .................................................................................451
        Back Dynamic Control ...............................................................451
BackDynamicControl Macro Actions.........................................................................................................451
backpropOffset.............................................................................................................................................451



                                                                                                                                                         11
setBackpropOffset.......................................................................................................................................451
               Back Static Control ....................................................................452
BackStaticControl Macro Actions..............................................................................................................452
allocateBackpropPlane...............................................................................................................................453
batch...............................................................................................................................................................453
costWeightingActive ....................................................................................................................................454
custom ...........................................................................................................................................................454
freeALL ..........................................................................................................................................................454
freeBackpropPlane......................................................................................................................................454
gradientClass................................................................................................................................................455
gradientWeightingActive .............................................................................................................................455
learning..........................................................................................................................................................455
learningOnReset..........................................................................................................................................455
setBatch.........................................................................................................................................................456
setCostWeightingActive ..............................................................................................................................456
setCustom .....................................................................................................................................................456
setForceLearning .........................................................................................................................................457
setGradientClass..........................................................................................................................................457
setGradientClassName...............................................................................................................................457
setGradientWeightingActive .......................................................................................................................457
setLearning...................................................................................................................................................458
setLearningOnReset....................................................................................................................................458
setUpdateEvery............................................................................................................................................458
setWeightingFilePath...................................................................................................................................459
updateEvery..................................................................................................................................................459
weightingFilePath.........................................................................................................................................459
               Dynamic Control........................................................................460
DynamicControl Macro Actions .................................................................................................................460
fixedPointMode.............................................................................................................................................460
samples .........................................................................................................................................................460
setFixedPointMode......................................................................................................................................461
setSamples ...................................................................................................................................................461
setZeroState .................................................................................................................................................461
setZeroStateEpoch......................................................................................................................................461
zeroState .......................................................................................................................................................462
zeroStateEpoch............................................................................................................................................462
               Static Control ............................................................................462
StaticControl Macro Actions.......................................................................................................................462
activeDataSet...............................................................................................................................................465
autoIncrement...............................................................................................................................................465
closeMacro....................................................................................................................................................466
codeGenProjectPath ...................................................................................................................................466
codeGenTargetPath ....................................................................................................................................466
compileSourceCode....................................................................................................................................466
debugSourceCode.......................................................................................................................................467
dither..............................................................................................................................................................467
dualName......................................................................................................................................................467
elapsedTimeInSeconds...............................................................................................................................467
epochCounter...............................................................................................................................................468
epochs ...........................................................................................................................................................468
epochsPerTest.............................................................................................................................................468
executableFilePath ......................................................................................................................................468
exemplarCounter..........................................................................................................................................469
exemplars ......................................................................................................................................................469
forceWindowOnTop.....................................................................................................................................469
learning..........................................................................................................................................................469
jogNetworkWeights ......................................................................................................................................470
loadWeights ..................................................................................................................................................470
openMacro....................................................................................................................................................470
pauseNetwork...............................................................................................................................................471
postRunMacro..............................................................................................................................................471
preRunMacro................................................................................................................................................471



12
randomizeNetworkWeights.........................................................................................................................471
resetNetwork.................................................................................................................................................472
runCompiledCode........................................................................................................................................472
runNetwork....................................................................................................................................................472
runSensitivity.................................................................................................................................................472
saveWeights .................................................................................................................................................473
setActiveDataSet..........................................................................................................................................473
setAutoIncrement.........................................................................................................................................473
setCloseMacro..............................................................................................................................................474
setCodeGenProjectPath .............................................................................................................................474
setCodeGenTargetPath..............................................................................................................................474
setDither........................................................................................................................................................474
setEpochCounter.........................................................................................................................................475
setEpochs......................................................................................................................................................475
setEpochsPerTest........................................................................................................................................475
setExemplarCounter....................................................................................................................................476
setExemplars ................................................................................................................................................476
setForceWindowOnTop..............................................................................................................................476
setLearning...................................................................................................................................................477
setOpenMacro..............................................................................................................................................477
setPostRunMacro.........................................................................................................................................477
setPreRunMacro..........................................................................................................................................477
setShowExemplars ......................................................................................................................................478
setUpdateDisplayByEpoch.........................................................................................................................478
setUpdateDisplayEvery...............................................................................................................................478
setUseName.................................................................................................................................................479
setXValDataSet............................................................................................................................................479
setZeroOnReset...........................................................................................................................................479
showExemplars ............................................................................................................................................480
stepEpoch.....................................................................................................................................................480
stepExemplar................................................................................................................................................480
stopNetwork..................................................................................................................................................480
updateDisplayByEpoch...............................................................................................................................481
updateDisplayEvery.....................................................................................................................................481
useName.......................................................................................................................................................481
xValDataSet..................................................................................................................................................481
zeroOnReset.................................................................................................................................................482
ErrorCriteria Family ...............................................................................482
    L1Criterion ......................................................................................482
    L2Criterion ......................................................................................483
    L2TemporalCriterion........................................................................484
    LpCriterion ......................................................................................485
    LinfinityCriterion ..............................................................................486
    SVML2Criterion ...............................................................................487
    Access Points .................................................................................488
         ErrorCriteria Access Points ........................................................488
    DLL Implementation.........................................................................489
         L1Criterion DLL Implementation .................................................489
         L2Criterion DLL Implementation .................................................490
         LinfinityCriterion DLL Implementation..........................................491
         DeltaBarDelta DLL Implementation .............................................492
    Drag and Drop.................................................................................493
         ErrorCriteria Drag and Drop .......................................................493
    Inspectors .......................................................................................493
         ErrorCriteria Inspector................................................................493
         L2TemporalCriterion Inspector ...................................................494
    Macro Actions .................................................................................496
         Criterion ....................................................................................496
Criterion Macro Actions...............................................................................................................................496
autoSave .......................................................................................................................................................497



                                                                                                                                                               13
averageOverUpdates ..................................................................................................................................497
bestCost.........................................................................................................................................................497
checkCostEvery ...........................................................................................................................................498
onIncrease.....................................................................................................................................................498
reportEvery....................................................................................................................................................498
setAutoSave..................................................................................................................................................498
setAverageOverUpdates.............................................................................................................................499
setBestCost...................................................................................................................................................499
setCheckCostEvery .....................................................................................................................................499
setOnIncrease..............................................................................................................................................500
setReportEvery.............................................................................................................................................500
setTrainTest..................................................................................................................................................500
trainTest.........................................................................................................................................................501
GradientSearch Family ..........................................................................501
   ConjugateGradient ..........................................................................501
   DeltaBarDelta..................................................................................503
   Momentum......................................................................................504
   Quickprop .......................................................................................506
   Step................................................................................................506
   SVMStep ........................................................................................507
   Access Points .................................................................................508
       Momentum Access Points..........................................................508
       Quickprop Access Points ...........................................................508
       Step Access Points....................................................................508
   DLL Implementation.........................................................................509
       Momentum DLL Implementation.................................................509
       Quickprop DLL Implementation ..................................................510
       Step DLL Implementation...........................................................511
   Drag and Drop.................................................................................512
       GradientSearch Drag and Drop ..................................................512
   Inspectors .......................................................................................512
       DeltaBarDelta Inspector.............................................................512
       Momentum Inspector .................................................................513
       Step Inspector ...........................................................................514
   Macro Actions .................................................................................515
       Delta Bar Delta..........................................................................515
DeltaBarDelta Macro Actions.....................................................................................................................515
beta.................................................................................................................................................................516
kappa .............................................................................................................................................................516
setBeta...........................................................................................................................................................516
setKappa.......................................................................................................................................................517
setZeta...........................................................................................................................................................517
zeta .................................................................................................................................................................517
               Momentum................................................................................518
Momentum Macro Actions..........................................................................................................................518
momentumRate............................................................................................................................................518
setMomentumRate.......................................................................................................................................518
               Step..........................................................................................518
Step Macro Actions......................................................................................................................................518
broadcastBumpStep....................................................................................................................................519
bumpStep......................................................................................................................................................519
individualSteps .............................................................................................................................................519
normalized.....................................................................................................................................................520
setIndividualSteps ........................................................................................................................................520
setNormalized...............................................................................................................................................520
setStepSize ...................................................................................................................................................521
stepSize .........................................................................................................................................................521
Input Family ..........................................................................................521
    Access............................................................................................521



14
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP
NeuroDimension Neuro Solutions HELP

Más contenido relacionado

Destacado

Matthew 8 Margins, Militias, Moms & Miracles
Matthew 8 Margins, Militias, Moms & MiraclesMatthew 8 Margins, Militias, Moms & Miracles
Matthew 8 Margins, Militias, Moms & MiraclesJesse Giglio
 
First Pitch 2
First Pitch 2First Pitch 2
First Pitch 2romaannan
 
Carpenter Grossberg Rosen1991b
Carpenter Grossberg Rosen1991bCarpenter Grossberg Rosen1991b
Carpenter Grossberg Rosen1991bESCOM
 
Creating a Talent Development Culture: How "Chunked" Learning Can Boost Perfo...
Creating a Talent Development Culture: How "Chunked" Learning Can Boost Perfo...Creating a Talent Development Culture: How "Chunked" Learning Can Boost Perfo...
Creating a Talent Development Culture: How "Chunked" Learning Can Boost Perfo...Rapid Learning Institute
 

Destacado (6)

Matthew 8 Margins, Militias, Moms & Miracles
Matthew 8 Margins, Militias, Moms & MiraclesMatthew 8 Margins, Militias, Moms & Miracles
Matthew 8 Margins, Militias, Moms & Miracles
 
First Pitch 2
First Pitch 2First Pitch 2
First Pitch 2
 
Carpenter Grossberg Rosen1991b
Carpenter Grossberg Rosen1991bCarpenter Grossberg Rosen1991b
Carpenter Grossberg Rosen1991b
 
Spp
SppSpp
Spp
 
First Pitch
First PitchFirst Pitch
First Pitch
 
Creating a Talent Development Culture: How "Chunked" Learning Can Boost Perfo...
Creating a Talent Development Culture: How "Chunked" Learning Can Boost Perfo...Creating a Talent Development Culture: How "Chunked" Learning Can Boost Perfo...
Creating a Talent Development Culture: How "Chunked" Learning Can Boost Perfo...
 

Similar a NeuroDimension Neuro Solutions HELP

Atv32 programming manual
Atv32 programming manualAtv32 programming manual
Atv32 programming manualToàn Huỳnh
 
ZebraNet Bridge Enterprise - Manual do Software
ZebraNet Bridge Enterprise - Manual do SoftwareZebraNet Bridge Enterprise - Manual do Software
ZebraNet Bridge Enterprise - Manual do SoftwareUseZ
 
Guia de usuario arena
Guia de usuario arenaGuia de usuario arena
Guia de usuario arenaSadamii Rap
 
Sonic os standard_3_9_administrators_guide
Sonic os standard_3_9_administrators_guideSonic os standard_3_9_administrators_guide
Sonic os standard_3_9_administrators_guideAshwani Singh
 
Managing Data Center Connectivity TechBook
Managing Data Center Connectivity TechBook Managing Data Center Connectivity TechBook
Managing Data Center Connectivity TechBook EMC
 
MFG/PRO QAD Reporting Framework Document Guide
MFG/PRO QAD Reporting Framework Document GuideMFG/PRO QAD Reporting Framework Document Guide
MFG/PRO QAD Reporting Framework Document GuideVinh Nguyen
 
Hp laser jet 1150 1300 service manual
Hp laser jet 1150 1300 service manualHp laser jet 1150 1300 service manual
Hp laser jet 1150 1300 service manuallayyah2013
 
Smart dsp os_user_guide
Smart dsp os_user_guideSmart dsp os_user_guide
Smart dsp os_user_guideeng_basemm
 
Faronics Deep Freeze Server Enterprise User Guide
Faronics Deep Freeze Server Enterprise User GuideFaronics Deep Freeze Server Enterprise User Guide
Faronics Deep Freeze Server Enterprise User GuideFaronics
 
Faronics Deep Freeze Enterprise User Guide
Faronics Deep Freeze Enterprise User GuideFaronics Deep Freeze Enterprise User Guide
Faronics Deep Freeze Enterprise User GuideFaronics
 
En acs800 standard_fw_l
En acs800 standard_fw_lEn acs800 standard_fw_l
En acs800 standard_fw_lToàn Huỳnh
 
Dns320 manual 100
Dns320 manual 100Dns320 manual 100
Dns320 manual 100markvw3
 
Faronics Power Save Enterprise User Guide
Faronics Power Save Enterprise User GuideFaronics Power Save Enterprise User Guide
Faronics Power Save Enterprise User GuideFaronics
 
Arduino: Crea bots y gadgets Arduino aprendiendo mediante el descubrimiento d...
Arduino: Crea bots y gadgets Arduino aprendiendo mediante el descubrimiento d...Arduino: Crea bots y gadgets Arduino aprendiendo mediante el descubrimiento d...
Arduino: Crea bots y gadgets Arduino aprendiendo mediante el descubrimiento d...SANTIAGO PABLO ALBERTO
 
Virtuoso schematic composer user guide
Virtuoso schematic composer user guideVirtuoso schematic composer user guide
Virtuoso schematic composer user guidentuzxy
 

Similar a NeuroDimension Neuro Solutions HELP (20)

Atv32 programming manual
Atv32 programming manualAtv32 programming manual
Atv32 programming manual
 
Atv32 programming manual
Atv32 programming manualAtv32 programming manual
Atv32 programming manual
 
ZebraNet Bridge Enterprise - Manual do Software
ZebraNet Bridge Enterprise - Manual do SoftwareZebraNet Bridge Enterprise - Manual do Software
ZebraNet Bridge Enterprise - Manual do Software
 
Guia de usuario arena
Guia de usuario arenaGuia de usuario arena
Guia de usuario arena
 
Sonic os standard_3_9_administrators_guide
Sonic os standard_3_9_administrators_guideSonic os standard_3_9_administrators_guide
Sonic os standard_3_9_administrators_guide
 
Managing Data Center Connectivity TechBook
Managing Data Center Connectivity TechBook Managing Data Center Connectivity TechBook
Managing Data Center Connectivity TechBook
 
MFG/PRO QAD Reporting Framework Document Guide
MFG/PRO QAD Reporting Framework Document GuideMFG/PRO QAD Reporting Framework Document Guide
MFG/PRO QAD Reporting Framework Document Guide
 
Hp laser jet 1150 1300 service manual
Hp laser jet 1150 1300 service manualHp laser jet 1150 1300 service manual
Hp laser jet 1150 1300 service manual
 
Programming
ProgrammingProgramming
Programming
 
Smart dsp os_user_guide
Smart dsp os_user_guideSmart dsp os_user_guide
Smart dsp os_user_guide
 
Faronics Deep Freeze Server Enterprise User Guide
Faronics Deep Freeze Server Enterprise User GuideFaronics Deep Freeze Server Enterprise User Guide
Faronics Deep Freeze Server Enterprise User Guide
 
Faronics Deep Freeze Enterprise User Guide
Faronics Deep Freeze Enterprise User GuideFaronics Deep Freeze Enterprise User Guide
Faronics Deep Freeze Enterprise User Guide
 
En acs800 standard_fw_l
En acs800 standard_fw_lEn acs800 standard_fw_l
En acs800 standard_fw_l
 
C01631241
C01631241C01631241
C01631241
 
Dns320 manual 100
Dns320 manual 100Dns320 manual 100
Dns320 manual 100
 
Faronics Power Save Enterprise User Guide
Faronics Power Save Enterprise User GuideFaronics Power Save Enterprise User Guide
Faronics Power Save Enterprise User Guide
 
Tools Users Guide
Tools Users GuideTools Users Guide
Tools Users Guide
 
Ug893 vivado-ide
Ug893 vivado-ideUg893 vivado-ide
Ug893 vivado-ide
 
Arduino: Crea bots y gadgets Arduino aprendiendo mediante el descubrimiento d...
Arduino: Crea bots y gadgets Arduino aprendiendo mediante el descubrimiento d...Arduino: Crea bots y gadgets Arduino aprendiendo mediante el descubrimiento d...
Arduino: Crea bots y gadgets Arduino aprendiendo mediante el descubrimiento d...
 
Virtuoso schematic composer user guide
Virtuoso schematic composer user guideVirtuoso schematic composer user guide
Virtuoso schematic composer user guide
 

Más de ESCOM

redes neuronales tipo Som
redes neuronales tipo Somredes neuronales tipo Som
redes neuronales tipo SomESCOM
 
redes neuronales Som
redes neuronales Somredes neuronales Som
redes neuronales SomESCOM
 
redes neuronales Som Slides
redes neuronales Som Slidesredes neuronales Som Slides
redes neuronales Som SlidesESCOM
 
red neuronal Som Net
red neuronal Som Netred neuronal Som Net
red neuronal Som NetESCOM
 
Self Organinising neural networks
Self Organinising  neural networksSelf Organinising  neural networks
Self Organinising neural networksESCOM
 
redes neuronales Kohonen
redes neuronales Kohonenredes neuronales Kohonen
redes neuronales KohonenESCOM
 
Teoria Resonancia Adaptativa
Teoria Resonancia AdaptativaTeoria Resonancia Adaptativa
Teoria Resonancia AdaptativaESCOM
 
ejemplo red neuronal Art1
ejemplo red neuronal Art1ejemplo red neuronal Art1
ejemplo red neuronal Art1ESCOM
 
redes neuronales tipo Art3
redes neuronales tipo Art3redes neuronales tipo Art3
redes neuronales tipo Art3ESCOM
 
Art2
Art2Art2
Art2ESCOM
 
Redes neuronales tipo Art
Redes neuronales tipo ArtRedes neuronales tipo Art
Redes neuronales tipo ArtESCOM
 
Neocognitron
NeocognitronNeocognitron
NeocognitronESCOM
 
Neocognitron
NeocognitronNeocognitron
NeocognitronESCOM
 
Neocognitron
NeocognitronNeocognitron
NeocognitronESCOM
 
Fukushima Cognitron
Fukushima CognitronFukushima Cognitron
Fukushima CognitronESCOM
 
Counterpropagation NETWORK
Counterpropagation NETWORKCounterpropagation NETWORK
Counterpropagation NETWORKESCOM
 
Counterpropagation NETWORK
Counterpropagation NETWORKCounterpropagation NETWORK
Counterpropagation NETWORKESCOM
 
Counterpropagation
CounterpropagationCounterpropagation
CounterpropagationESCOM
 
Teoría de Resonancia Adaptativa Art2 ARTMAP
Teoría de Resonancia Adaptativa Art2 ARTMAPTeoría de Resonancia Adaptativa Art2 ARTMAP
Teoría de Resonancia Adaptativa Art2 ARTMAPESCOM
 
Teoría de Resonancia Adaptativa ART1
Teoría de Resonancia Adaptativa ART1Teoría de Resonancia Adaptativa ART1
Teoría de Resonancia Adaptativa ART1ESCOM
 

Más de ESCOM (20)

redes neuronales tipo Som
redes neuronales tipo Somredes neuronales tipo Som
redes neuronales tipo Som
 
redes neuronales Som
redes neuronales Somredes neuronales Som
redes neuronales Som
 
redes neuronales Som Slides
redes neuronales Som Slidesredes neuronales Som Slides
redes neuronales Som Slides
 
red neuronal Som Net
red neuronal Som Netred neuronal Som Net
red neuronal Som Net
 
Self Organinising neural networks
Self Organinising  neural networksSelf Organinising  neural networks
Self Organinising neural networks
 
redes neuronales Kohonen
redes neuronales Kohonenredes neuronales Kohonen
redes neuronales Kohonen
 
Teoria Resonancia Adaptativa
Teoria Resonancia AdaptativaTeoria Resonancia Adaptativa
Teoria Resonancia Adaptativa
 
ejemplo red neuronal Art1
ejemplo red neuronal Art1ejemplo red neuronal Art1
ejemplo red neuronal Art1
 
redes neuronales tipo Art3
redes neuronales tipo Art3redes neuronales tipo Art3
redes neuronales tipo Art3
 
Art2
Art2Art2
Art2
 
Redes neuronales tipo Art
Redes neuronales tipo ArtRedes neuronales tipo Art
Redes neuronales tipo Art
 
Neocognitron
NeocognitronNeocognitron
Neocognitron
 
Neocognitron
NeocognitronNeocognitron
Neocognitron
 
Neocognitron
NeocognitronNeocognitron
Neocognitron
 
Fukushima Cognitron
Fukushima CognitronFukushima Cognitron
Fukushima Cognitron
 
Counterpropagation NETWORK
Counterpropagation NETWORKCounterpropagation NETWORK
Counterpropagation NETWORK
 
Counterpropagation NETWORK
Counterpropagation NETWORKCounterpropagation NETWORK
Counterpropagation NETWORK
 
Counterpropagation
CounterpropagationCounterpropagation
Counterpropagation
 
Teoría de Resonancia Adaptativa Art2 ARTMAP
Teoría de Resonancia Adaptativa Art2 ARTMAPTeoría de Resonancia Adaptativa Art2 ARTMAP
Teoría de Resonancia Adaptativa Art2 ARTMAP
 
Teoría de Resonancia Adaptativa ART1
Teoría de Resonancia Adaptativa ART1Teoría de Resonancia Adaptativa ART1
Teoría de Resonancia Adaptativa ART1
 

Último

4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptxmary850239
 
Science 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxScience 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxMaryGraceBautista27
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17Celine George
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxCarlos105
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxAshokKarra1
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceSamikshaHamane
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxDr.Ibrahim Hassaan
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfTechSoup
 
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...JhezDiaz1
 
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYKayeClaireEstoconing
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...Postal Advocate Inc.
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Celine George
 
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfAMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfphamnguyenenglishnb
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPCeline George
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parentsnavabharathschool99
 

Último (20)

4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx
 
Science 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxScience 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptx
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptx
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in Pharmacovigilance
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...OS-operating systems- ch04 (Threads) ...
OS-operating systems- ch04 (Threads) ...
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptx
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
 
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
 
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
 
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
USPS® Forced Meter Migration - How to Know if Your Postage Meter Will Soon be...
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
 
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfAMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
 
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptxYOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERP
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parents
 

NeuroDimension Neuro Solutions HELP

  • 1. Table of Contents Preface 32 About On-line Help ................................................................................. 32 Acknowledgments .................................................................................. 32 Product Information 33 Contacting NeuroDimension.................................................................... 33 NeuroSolutions Technical Support ........................................................... 34 NeuroDimension Products and Services .................................................. 35 Level Restrictions ................................................................................... 39 Evaluation Mode..................................................................................... 40 NeuroSolutions Pricing ........................................................................... 40 NeuroSolutions University Site License Pricing ......................................... 41 Ordering Information ............................................................................... 41 Getting Started 42 System Requirements............................................................................. 42 Running the Demos ................................................................................ 42 What to do after Running the Demos ....................................................... 45 Frequently Asked Questions (FAQ) ......................................................... 45 Terms to Know....................................................................................... 50 Main Window ................................................................................... 50 Inspector.......................................................................................... 51 Breadboards .................................................................................... 52 Neural Components.......................................................................... 53 Toolbars and Palettes ....................................................................... 53 Selection and Stamping Modes ......................................................... 54 Temporary License........................................................................... 54 Menus & Toolbars .................................................................................. 55 File Menu & Toolbar Commands ....................................................... 55 Edit Menu & Toolbar Commands ....................................................... 56 Alignment Menu & Toolbar Commands .............................................. 57 Windows Menu & Toolbar Commands .............................................. 58 Component Menu ............................................................................. 59 Tools ............................................................................................... 59 Tools Menu Commands .............................................................. 59 Control Menu & Toolbar Commands ............................................ 61 Macro Menu & Toolbar Commands ............................................. 62 Customize Toolbars Page ........................................................... 63 Component Palettes......................................................................................................................................63 Command Toolbars .......................................................................................................................................64 Customize Buttons Page............................................................. 65 View ................................................................................................ 66 View Menu ................................................................................. 66 Macro Bars ................................................................................ 66 Status Bar.................................................................................. 68 Help................................................................................................. 69 Help Menu & Toolbar Commands ................................................ 69 Activate Software Panel .............................................................. 70 User Options .......................................................................................... 71 Options Window ............................................................................... 71 Options Workspace Page.................................................................. 72 1
  • 2. Options Save Page........................................................................... 73 Examples ............................................................................................... 74 Example 1 - Toolbar Manipulation...................................................... 74 Example 2 - Component Manipulation................................................ 74 Example 3 - Inspecting a Component's Parameters ............................ 75 Simulations 76 Simulations ............................................................................................ 76 Introduction to Neural Network Simulations .............................................. 77 What Are Artificial Neural Networks ................................................... 77 A Prototype Problem......................................................................... 78 Ingredients of a Simulation ...................................................................... 79 Formulation of the problem................................................................ 79 Data Collection and Coding ............................................................... 79 Getting Data into the Network ............................................................ 80 Cross Validation ............................................................................... 81 Network Topology ............................................................................ 82 Network Training .............................................................................. 84 Probing ............................................................................................ 86 Running the Simulation ..................................................................... 86 Concepts 86 Concepts ............................................................................................... 86 NeuroSolutions Structure ........................................................................ 87 NeuroSolutions Structure .................................................................. 87 Palettes ........................................................................................... 87 Breadboard...................................................................................... 88 NeuroSolutions Graphical User Interface (GUI) ........................................ 89 NeuroSolutions Graphical User Interface (GUI) .................................. 89 Logic of the Interface........................................................................ 89 Components .................................................................................... 90 The Inspector................................................................................... 90 Single-Click vs. Double-Click............................................................. 91 File Open Dialog Box ........................................................................ 92 Save As Dialog Box .......................................................................... 92 Toolbars and Palettes ....................................................................... 92 Title Bar........................................................................................... 93 Scroll Bars ....................................................................................... 93 Network Construction ....................................................................... 94 Network Construction ................................................................. 94 Stamping ................................................................................... 94 Manipulating Components........................................................... 94 Replacing Axons and Synapses .................................................. 95 Connectors ................................................................................ 95 Cabling ...................................................................................... 96 Stacking..................................................................................... 97 Network Access ............................................................................... 97 Network Access ......................................................................... 97 Probes ....................................................................................... 98 Data Input/Output ....................................................................... 99 Transmitters and Receivers ........................................................100 Network Simulation..........................................................................100 Network Simulation....................................................................100 Application Window Commands .......................................................100 2
  • 3. Size command (System menu) 100 Move command (Control menu) 101 Minimize command (application Control menu)............................101 Maximize command (System menu) 101 Close command (Control menus) 101 Restore command (Control menu) 102 Switch to command (application Control menu) 102 Generating Source Code .......................................................................103 Generating Source Code .................................................................103 Customized Components .......................................................................103 Customized Components .................................................................103 Testing the Network ...............................................................................104 The TestingWizard ..........................................................................104 Freezing the Network Weights..........................................................104 Cross Validation ..............................................................................104 Production Data Set.........................................................................105 Sensitivity Analysis..........................................................................105 Confusion Matrix .............................................................................105 Correlation Coefficient .....................................................................106 ROC Matrix .....................................................................................107 Performance Measures ....................................................................108 Practical Simulation Issues.....................................................................109 Practical Simulation Issues...............................................................109 Associating a File Extension with an Editor........................................110 Data Preparation .............................................................................110 Normalization File............................................................................111 Forms of Backpropagation ...............................................................112 Probing ...........................................................................................113 Saving and Fixing Network Weights..................................................113 Weights File ....................................................................................113 Saving Network Data .......................................................................118 Stop Criteria ....................................................................................118 Constructing Learning Dynamics ......................................................118 Simulating Recurrent Networks ........................................................119 Component Naming Conventions .....................................................119 Coordinating Unsupervised and Supervised Learning ........................121 Organization of NeuroSolutions ..............................................................121 Organization of NeuroSolutions ........................................................121 Activation Family .............................................................................122 Activation Family .............................................................................122 Axon Family ..............................................................................124 MemoryAxon Family ..................................................................125 FuzzyAxon Family .....................................................................127 ErrorCriteria Family .........................................................................128 Synapse Family.........................................................................130 Backprop Family..............................................................................131 Backprop Family..............................................................................131 BackAxon Family.......................................................................132 BackMemoryAxon Family...........................................................134 BackSynapse Family .................................................................136 3
  • 4. GradientSearch Family ....................................................................137 GradientSearch Family ..............................................................137 Controls Family ...............................................................................139 Controls Family .........................................................................139 ActivationControl Family ............................................................140 BackpropControl Family.............................................................142 Unsupervised Family .......................................................................143 Unsupervised Family .................................................................143 Hebbian Family .........................................................................144 Competitive Family ....................................................................145 Kohonen Family ........................................................................146 Probe Family...................................................................................147 Probe Family.............................................................................147 Input Family ....................................................................................148 Input Family ....................................................................................148 Transmitter Family...........................................................................149 Transmitter Family...........................................................................149 Schedule Family..............................................................................150 Schedule Family..............................................................................150 Introduction to Neural Computation 151 Introduction to NeuroComputation ..........................................................151 Introduction to Neural Computation.........................................................152 Introduction to NeuroComputation ....................................................152 History of Neural Networks...............................................................152 What are Artificial Neural Networks...................................................153 Neural Network Solutions .................................................................154 Neural Network Analysis ........................................................................155 Neural Network Analysis ..................................................................155 Neural Network Taxonomies ............................................................157 Learning Paradigms.........................................................................159 Learning Paradigms...................................................................159 Cost Function ............................................................................160 Gradient Descent ......................................................................161 Constraining the Learning Dynamics.................................................166 Constraining the Learning Dynamics...........................................166 Practical Issues of Learning ...................................................................168 Practical Issues of Learning .............................................................168 Training Set ....................................................................................168 Network Size...................................................................................169 Learning Parameters .......................................................................169 Stop Criteria ....................................................................................170 Unsupervised Learning ..........................................................................171 Unsupervised learning .....................................................................171 Support Vector Machines .......................................................................174 Support Vector Machines .................................................................174 Dynamic Networks.................................................................................176 Dynamic Networks...........................................................................176 Famous Neural Topologies ....................................................................177 Famous Neural Topologies ..............................................................177 Perceptron ......................................................................................177 Multilayer Perceptron .......................................................................178 Madaline .........................................................................................180 Radial Basis Function Networks .......................................................180 Associative Memories ......................................................................181 Jordan/Elman Networks ...................................................................182 4
  • 5. Hopfield Network .............................................................................183 Principal Component Analysis Networks ...........................................184 Kohonen Self-Organizing Maps (SOFM) ...........................................185 Adaptive Resonance Theory (ART) ..................................................187 Fukushima ......................................................................................187 Time Lagged Recurrent Networks.....................................................187 Tutorials 190 Tutorials Chapter ...................................................................................190 Running NeuroSolutions ........................................................................190 Signal Generator Example .....................................................................191 Signal Generator Example ...............................................................191 Construction Rules ..........................................................................192 Stamping Components ....................................................................193 On-line Help ....................................................................................193 Connectors .....................................................................................193 Selecting and Configuring a Component ...........................................194 Arranging Icons ...............................................................................194 Connecting Components..................................................................195 The Cursor......................................................................................195 Component Compatibility .................................................................195 Bringing in the Function Generators ..................................................196 Stacking Components......................................................................196 Accessing the Component Hierarchy ................................................197 Access Points .................................................................................198 Displaying the Output Waveform ......................................................198 Opening the Display Window............................................................199 Controlling Data Flow ......................................................................199 Configuring the Controller ................................................................199 Running the Signal Generator Example ............................................200 Things to Try with the Signal Generator ............................................201 What You have Learned from the Signal Generator Example .............202 Combination of Data Sources Example ...................................................203 Combination of Data Sources Example .............................................203 Constructing a McCulloch-Pitts Processing Element ..........................203 Preparing Files for Input into NeuroSolutions .....................................204 Things to Try with the Combination of Data Sources Example ............206 What You have Learned from the Combination of Data Sources Example207 The Perceptron and Multilayer Perceptron ..............................................207 Perceptron and Multilayer Perceptron Example .................................207 Perceptron Topology .......................................................................207 Constructing the Learning Dynamics of a Perceptron .........................208 Alternate Procedure for Constructing the Learning Dynamics of a Perceptron 210 Selecting the Learning Paradigm......................................................211 Running the Perceptron ...................................................................212 MLP Construction ............................................................................213 Running the MLP .............................................................................214 Things to Try with the Perceptron and Multilayer Perceptron Example 215 What You have Learned from the Perceptron and Multilayer Perceptron Example ......................................................................................................216 Associator Example ...............................................................................217 Associator Example .........................................................................217 Building the Associator ....................................................................217 Things to Try with the Associator ......................................................221 What you have Learned from the Associator Example .......................221 Filtering Example...................................................................................222 5
  • 6. Filtering Example.............................................................................222 Constructing A Linear Filter..............................................................222 Things to Try with the Linear Filter....................................................224 Adaptive Network Construction.........................................................225 Running the Adaptive Network .........................................................225 Things to Try with the Adaptive Network ...........................................226 What You have Learned from the Filter Example ...............................229 Recurrent Neural Network Example ........................................................229 Recurrent Neural Network Example ..................................................229 Creating the Recurrent Topology ......................................................229 Fixed Point Learning ........................................................................231 Running the Recurrent Network ........................................................232 Things to Try with the Recurrent Network ..........................................234 What You have Learned from the Recurrent Network Example...........237 Frequency Doubler Example ..................................................................237 Frequency Doubler Example ............................................................237 Creating the Frequency Doubler Network ..........................................237 Configuration of the Trajectory..........................................................239 Running the Frequency Doubler Network ..........................................239 Using the Gamma Model to Double the Frequency ............................240 Visualizing the State Space..............................................................242 Things to Try with the Frequency Doubler Network ............................244 What You have Learned from the Frequency Doubler Example ..........246 Unsupervised Learning Example ............................................................247 Unsupervised Learning Example ......................................................247 Introduction to Unsupervised Learning ..............................................247 Noise Reduction with Oja's or Sanger's Learning ...............................248 Things to Try with the Unsupervised Network ....................................249 What You have Learned from the Unsupervised Learning Example ....251 Principle Component Analysis Example ..................................................251 Principal Component Analysis Example ............................................251 Introduction to Principal Component Analysis....................................251 Running the PCA Network ...............................................................251 Things to Try with the PCA Network..................................................253 What You have Learned from the Principal Component Analysis Example 253 Competitive Learning Example...............................................................253 Competitive Learning Example.........................................................253 Introduction to Competitive Learning .................................................253 Constructing the Competitive Network ..............................................254 Things to Try with the Competitive Network .......................................256 What You have Learned from the Competitive Learning Example.......258 Kohonen Self Organizing Feature Map (SOFM) Example .........................259 Kohonen Self Organizing Feature Map (SOFM) Example ...................259 Introduction to SOFM Example .........................................................259 SOFM Network Construction ............................................................259 Running the SOFM Network .............................................................260 Things to Try with the SOFM Network ...............................................261 What you have Learned from the Kohonen SOFM Example ...............261 Character Recognition Example .............................................................261 Character Recognition Example .......................................................261 Introduction to Character Recognition Example .................................262 Constructing the Counterpropagation Network...................................262 Running the Counterpropagation Network .........................................263 Things to Try with the Counterpropagation Network ...........................264 What You have Learned from the Character Recognition Example .....265 Pattern Recognition Example .................................................................265 6
  • 7. Pattern Recognition Example ...........................................................265 Introduction to Pattern Recognition Example .....................................266 Constructing the Pattern Recognition Network ...................................266 Running the Pattern Recognition Network .........................................268 What you have Learned from the Pattern Recognition Example..........269 Time Series Prediction Example.............................................................269 Time Series Prediction Example.......................................................269 Introduction to Time Series Prediction Example .................................269 Constructing the TLRN Network .......................................................270 Running the TLRN Network ..............................................................271 What You have Learned from the Time Series Prediction Example .....271 Neural Network Components 271 Components .........................................................................................271 Engine Family .......................................................................................272 Activation Family ...................................................................................272 Axon Family ....................................................................................272 Axon.........................................................................................272 BiasAxon ..................................................................................273 CombinerAxon ..........................................................................274 GaussianAxon...........................................................................275 LinearAxon................................................................................276 LinearSigmoidAxon ...................................................................277 LinearTanhAxon........................................................................278 NormalizedAxon........................................................................279 NormalizedSigmoidAxon ............................................................280 SigmoidAxon.............................................................................281 SoftMaxAxon.............................................................................282 TanhAxon .................................................................................283 ThresholdAxon..........................................................................284 WinnerTakeAllAxon ...................................................................285 Access Points ...........................................................................286 Axon Family Access Points........................................................................................................................286 DLL Implementation...................................................................287 Axon DLL Implementation..........................................................................................................................287 BiasAxon DLL Implementation...................................................................................................................288 GaussianAxon DLL Implementation.........................................................................................................288 LinearAxon DLL Implementation...............................................................................................................289 LinearSigmoidAxon DLL Implementation.................................................................................................290 LinearTanhAxon DLL Implementation......................................................................................................291 SigmoidAxon DLL Implementation............................................................................................................292 SoftMaxAxon DLL Implementation............................................................................................................292 TanhAxon DLL Implementation.................................................................................................................293 ThresholdAxon DLL Implementation........................................................................................................294 WinnerTakeAllAxon DLL Implementation ................................................................................................295 Examples ..................................................................................296 Axon Example...............................................................................................................................................296 BiasAxon Example.......................................................................................................................................297 GaussianAxon Example..............................................................................................................................298 LinearAxon Example...................................................................................................................................299 LinearSigmoidAxon Example.....................................................................................................................300 LinearTanhAxon Example..........................................................................................................................301 SigmoidAxon Example................................................................................................................................302 SoftMaxAxon Example................................................................................................................................303 TanhAxon Example.....................................................................................................................................304 ThresholdAxon Example.............................................................................................................................305 WinnerTakeAllAxon Example.....................................................................................................................306 Macro Actions ...........................................................................307 7
  • 8. Axon ...............................................................................................................................................................307 Axon Macro Actions.....................................................................................................................................307 setRows .........................................................................................................................................................308 cols .................................................................................................................................................................308 fireNext...........................................................................................................................................................308 fireNextOnReset...........................................................................................................................................309 rows ................................................................................................................................................................309 setCols ...........................................................................................................................................................309 setDimensions ..............................................................................................................................................309 setFireNext ....................................................................................................................................................310 setFireNextOnReset....................................................................................................................................310 Gaussian Axon .............................................................................................................................................311 GaussianAxon Macro Actions....................................................................................................................311 assignCenters...............................................................................................................................................311 assignVariance.............................................................................................................................................311 neighbors.......................................................................................................................................................311 setEngineData..............................................................................................................................................312 setNeighbors.................................................................................................................................................312 Linear Axon...................................................................................................................................................312 LinearAxon Macro Actions..........................................................................................................................312 beta.................................................................................................................................................................313 setBeta...........................................................................................................................................................313 setWeightMean.............................................................................................................................................313 setWeightVariance.......................................................................................................................................314 weightMean...................................................................................................................................................314 weightVariance.............................................................................................................................................314 Winner Take All Axon..................................................................................................................................314 WinnerTakeAllAxon Macro Actions...........................................................................................................314 maxWinner....................................................................................................................................................315 setMaxWinner...............................................................................................................................................315 Inspectors .......................................................................................315 Axon Inspector ..........................................................................315 GaussianAxon Inspector ............................................................316 WinnerTakeAllAxon Inspector ....................................................318 Engine Inspector .............................................................................319 Soma Family Inspector...............................................................................................................................321 Transfer Function Inspector........................................................322 Drag and Drop.................................................................................323 Axon Family Drag and Drop .......................................................323 MemoryAxon Family ........................................................................323 ContextAxon .............................................................................323 GammaAxon.............................................................................324 IntegratorAxon ..........................................................................325 LaguarreAxon ...........................................................................326 SigmoidContextAxon .................................................................327 SigmoidIntegratorAxon ..............................................................328 TanhContextAxon......................................................................329 TanhIntegratorAxon ...................................................................330 TDNNAxon................................................................................331 DLL Implementation...................................................................332 ContextAxon DLL Implementation............................................................................................................332 GammaAxon DLL Implementation............................................................................................................332 IntegratorAxon DLL Implementation.........................................................................................................333 LaguarreAxon DLL Implementation ..........................................................................................................334 SigmoidContextAxon DLL Implementation..............................................................................................335 SigmoidIntegratorAxon DLL Implementation...........................................................................................336 TanhContextAxon DLL Implementation...................................................................................................337 TanhIntegratorAxon DLL Implementation................................................................................................338 TDNNAxon DLL Implementation ...............................................................................................................338 Examples ..................................................................................339 8
  • 9. IntegratorAxon Example.............................................................................................................................339 TanhIntegratorAxon Example....................................................................................................................340 SigmoidIntegratorAxon Example...............................................................................................................341 ContextAxon Example.................................................................................................................................343 SigmoidContextAxon Example..................................................................................................................344 TanhContextAxon Example........................................................................................................................345 GammaAxon Example................................................................................................................................346 LaguarreAxon Example...............................................................................................................................347 TDNNAxon Example...................................................................................................................................348 Inspectors .................................................................................349 TDNNAxon Inspector...................................................................................................................................349 Feedback Inspector.....................................................................................................................................350 Macro Actions ...........................................................................351 TDNN Axon...................................................................................................................................................351 TDNNAxon Macro Actions..........................................................................................................................351 setTapDelay..................................................................................................................................................352 setTaps ..........................................................................................................................................................352 tapDelay.........................................................................................................................................................352 taps.................................................................................................................................................................352 FuzzyAxon Family ...........................................................................353 BellFuzzyAxon ..........................................................................353 GaussianFuzzyAxon..................................................................354 DLL Implementation...................................................................354 GaussianFuzzyAxon DLL Implementation...............................................................................................354 BellFuzzyAxon DLL Implementation.........................................................................................................356 Inspectors .................................................................................357 FuzzyAxon Inspector...................................................................................................................................357 Synapse Family...............................................................................357 ArbitrarySynapse.......................................................................357 CombinerSynapse.....................................................................358 ContractorSynapse....................................................................359 ExpanderSynapse .....................................................................360 ModularSynapse .......................................................................361 FullSynapse ..............................................................................362 SVMOutputSynapse ..................................................................363 Synapse ...................................................................................363 Access Points ...........................................................................364 Synapse Family Access Points..................................................................................................................364 DLL Implementation...................................................................365 FullSynapse DLL Implementation.............................................................................................................365 Synapse DLL Implementation....................................................................................................................366 Drag and Drop...........................................................................367 Synapse Family Drag and Drop.................................................................................................................367 Inspectors .................................................................................367 ArbitrarySynapse Inspector........................................................................................................................367 CombinerSynapse Inspector......................................................................................................................369 ContractorSynapse Inspector.....................................................................................................................370 ExpanderSynapse Inspector......................................................................................................................371 ModularSynapse Inspector.........................................................................................................................371 Synapse Inspector.......................................................................................................................................372 Macro Actions ...........................................................................373 ArbitrarySynapse..........................................................................................................................................373 ArbitrarySynapse Macro Actions ...............................................................................................................373 autoconnect...................................................................................................................................................373 disconnectAll.................................................................................................................................................374 forward...........................................................................................................................................................374 nConnections ................................................................................................................................................374 removeConnections.....................................................................................................................................375 setAutoconnect.............................................................................................................................................375 setForward....................................................................................................................................................376 9
  • 10. setNConnections ..........................................................................................................................................376 toggleInputNeuron.......................................................................................................................................376 toggleOutputNeuron....................................................................................................................................376 FullSynapse..................................................................................................................................................377 Synapse.........................................................................................................................................................377 Synapse Macro Actions ..............................................................................................................................377 delay...............................................................................................................................................................377 inputConnector.............................................................................................................................................377 outputConnector...........................................................................................................................................378 setDelay.........................................................................................................................................................378 Macro Actions .................................................................................378 Soma........................................................................................378 Soma Macro Actions ...................................................................................................................................378 networkJog....................................................................................................................................................379 networkRandomize ......................................................................................................................................379 setEngineData..............................................................................................................................................379 setWeightsFixed...........................................................................................................................................380 setWeightMean.............................................................................................................................................380 setWeightsSave ...........................................................................................................................................380 setWeightVariance.......................................................................................................................................381 weightsFixed.................................................................................................................................................381 weightMean...................................................................................................................................................381 weightsSave..................................................................................................................................................381 weightVariance.............................................................................................................................................382 Backprop Family....................................................................................382 BackAxon Family.............................................................................382 BackAxon .................................................................................382 BackBiasAxon...........................................................................383 BackCombinerAxon...................................................................384 BackLinearAxon ........................................................................385 BackNormalizedAxon ................................................................386 BackNormalizedSigmoidAxon ....................................................386 BackSigmoidAxon .....................................................................387 BackTanhAxon ..........................................................................388 BackCriteriaControl ...................................................................389 BackBellFuzzyAxon...................................................................390 BackGaussianFuzzyAxon ..........................................................391 Access Points ...........................................................................392 BackAxon Family Access Points ...............................................................................................................392 DLL Implementation...................................................................393 BackAxon DLL Implementation.................................................................................................................393 BackBiasAxon DLL Implementation..........................................................................................................394 BackLinearAxon DLL Implementation ......................................................................................................394 BackSigmoidAxon DLL Implementation...................................................................................................395 BackTanhAxon DLL Implementation ........................................................................................................396 BackBellFuzzyAxon DLL Implementation................................................................................................397 BackGaussianFuzzyAxon DLL Implementation......................................................................................398 Inspectors .................................................................................400 BackLinearAxon Inspector..........................................................................................................................400 Macro Actions ...........................................................................400 Back Linear Axon.........................................................................................................................................400 BackLinearAxon Macro Actions.................................................................................................................400 offset...............................................................................................................................................................401 setOffset........................................................................................................................................................401 BackMemoryAxon Family.................................................................401 BackContextAxon ......................................................................401 BackGammaAxon .....................................................................402 BackLaguarreAxon ....................................................................403 BackIntegratorAxon ...................................................................404 10
  • 11. BackSigmoidContextAxon ..........................................................405 BackSigmoidIntegratorAxon .......................................................406 BackTanhContextAxon ..............................................................406 BackTanhIntegratorAxon ...........................................................407 BackTDNNAxon ........................................................................408 DLL Implementation...................................................................409 BackContextAxon DLL Implementation....................................................................................................409 BackGammaAxon DLL Implementation...................................................................................................409 BackIntegratorAxon DLL Implementation ................................................................................................410 BackLaguarreAxon DLL Implementation.................................................................................................411 BackSigmoidContextAxon DLL Implementation.....................................................................................413 BackSigmoidIntegratorAxon DLL Implementation..................................................................................413 BackTanhContextAxon DLL Implementation..........................................................................................414 BackTanhIntegratorAxon DLL Implementation.......................................................................................415 BackTDNNAxon DLL Implementation ......................................................................................................416 BackSynapse Family .......................................................................417 BackArbitrarySynapse ...............................................................417 BackFullSynapse.......................................................................418 BackSynapse............................................................................418 DLL Implementation...................................................................419 BackFullSynapse DLL Implementation....................................................................................................419 BackSynapse DLL Implementation...........................................................................................................420 Drag and Drop.................................................................................421 Backprop Family Drag and Drop.................................................421 Controls Family .....................................................................................422 StaticControl ...................................................................................422 BackStaticControl ............................................................................423 DynamicControl...............................................................................423 BackDynamicControl .......................................................................425 GeneticControl ................................................................................426 Access Points .................................................................................427 StaticControl Access Points .......................................................427 GeneticControl Access Points ....................................................427 Drag and Drop.................................................................................427 Controls Drag and Drop .............................................................427 Inspectors .......................................................................................428 Exemplar Weighting Inspector ....................................................428 Progress Display Inspector.........................................................429 Weights Inspector......................................................................430 StaticControl Inspector...............................................................432 Termination Inspector ................................................................434 DynamicControl Inspector ..........................................................435 Iterative Prediction Inspector ......................................................436 Backpropagation Inspector (Dynamic).........................................437 Teacher Forcing Inspector .........................................................438 BackStaticControl Inspector (Static)............................................439 Code Generation Inspector ........................................................441 Auto Macros Inspector ...............................................................443 GeneticControl Inspector ...........................................................444 Genetic Operators Inspector ......................................................446 Genetic Termination Inspector....................................................449 Windows .........................................................................................450 Simulation Progress Window......................................................450 Macro Actions .................................................................................451 Back Dynamic Control ...............................................................451 BackDynamicControl Macro Actions.........................................................................................................451 backpropOffset.............................................................................................................................................451 11
  • 12. setBackpropOffset.......................................................................................................................................451 Back Static Control ....................................................................452 BackStaticControl Macro Actions..............................................................................................................452 allocateBackpropPlane...............................................................................................................................453 batch...............................................................................................................................................................453 costWeightingActive ....................................................................................................................................454 custom ...........................................................................................................................................................454 freeALL ..........................................................................................................................................................454 freeBackpropPlane......................................................................................................................................454 gradientClass................................................................................................................................................455 gradientWeightingActive .............................................................................................................................455 learning..........................................................................................................................................................455 learningOnReset..........................................................................................................................................455 setBatch.........................................................................................................................................................456 setCostWeightingActive ..............................................................................................................................456 setCustom .....................................................................................................................................................456 setForceLearning .........................................................................................................................................457 setGradientClass..........................................................................................................................................457 setGradientClassName...............................................................................................................................457 setGradientWeightingActive .......................................................................................................................457 setLearning...................................................................................................................................................458 setLearningOnReset....................................................................................................................................458 setUpdateEvery............................................................................................................................................458 setWeightingFilePath...................................................................................................................................459 updateEvery..................................................................................................................................................459 weightingFilePath.........................................................................................................................................459 Dynamic Control........................................................................460 DynamicControl Macro Actions .................................................................................................................460 fixedPointMode.............................................................................................................................................460 samples .........................................................................................................................................................460 setFixedPointMode......................................................................................................................................461 setSamples ...................................................................................................................................................461 setZeroState .................................................................................................................................................461 setZeroStateEpoch......................................................................................................................................461 zeroState .......................................................................................................................................................462 zeroStateEpoch............................................................................................................................................462 Static Control ............................................................................462 StaticControl Macro Actions.......................................................................................................................462 activeDataSet...............................................................................................................................................465 autoIncrement...............................................................................................................................................465 closeMacro....................................................................................................................................................466 codeGenProjectPath ...................................................................................................................................466 codeGenTargetPath ....................................................................................................................................466 compileSourceCode....................................................................................................................................466 debugSourceCode.......................................................................................................................................467 dither..............................................................................................................................................................467 dualName......................................................................................................................................................467 elapsedTimeInSeconds...............................................................................................................................467 epochCounter...............................................................................................................................................468 epochs ...........................................................................................................................................................468 epochsPerTest.............................................................................................................................................468 executableFilePath ......................................................................................................................................468 exemplarCounter..........................................................................................................................................469 exemplars ......................................................................................................................................................469 forceWindowOnTop.....................................................................................................................................469 learning..........................................................................................................................................................469 jogNetworkWeights ......................................................................................................................................470 loadWeights ..................................................................................................................................................470 openMacro....................................................................................................................................................470 pauseNetwork...............................................................................................................................................471 postRunMacro..............................................................................................................................................471 preRunMacro................................................................................................................................................471 12
  • 13. randomizeNetworkWeights.........................................................................................................................471 resetNetwork.................................................................................................................................................472 runCompiledCode........................................................................................................................................472 runNetwork....................................................................................................................................................472 runSensitivity.................................................................................................................................................472 saveWeights .................................................................................................................................................473 setActiveDataSet..........................................................................................................................................473 setAutoIncrement.........................................................................................................................................473 setCloseMacro..............................................................................................................................................474 setCodeGenProjectPath .............................................................................................................................474 setCodeGenTargetPath..............................................................................................................................474 setDither........................................................................................................................................................474 setEpochCounter.........................................................................................................................................475 setEpochs......................................................................................................................................................475 setEpochsPerTest........................................................................................................................................475 setExemplarCounter....................................................................................................................................476 setExemplars ................................................................................................................................................476 setForceWindowOnTop..............................................................................................................................476 setLearning...................................................................................................................................................477 setOpenMacro..............................................................................................................................................477 setPostRunMacro.........................................................................................................................................477 setPreRunMacro..........................................................................................................................................477 setShowExemplars ......................................................................................................................................478 setUpdateDisplayByEpoch.........................................................................................................................478 setUpdateDisplayEvery...............................................................................................................................478 setUseName.................................................................................................................................................479 setXValDataSet............................................................................................................................................479 setZeroOnReset...........................................................................................................................................479 showExemplars ............................................................................................................................................480 stepEpoch.....................................................................................................................................................480 stepExemplar................................................................................................................................................480 stopNetwork..................................................................................................................................................480 updateDisplayByEpoch...............................................................................................................................481 updateDisplayEvery.....................................................................................................................................481 useName.......................................................................................................................................................481 xValDataSet..................................................................................................................................................481 zeroOnReset.................................................................................................................................................482 ErrorCriteria Family ...............................................................................482 L1Criterion ......................................................................................482 L2Criterion ......................................................................................483 L2TemporalCriterion........................................................................484 LpCriterion ......................................................................................485 LinfinityCriterion ..............................................................................486 SVML2Criterion ...............................................................................487 Access Points .................................................................................488 ErrorCriteria Access Points ........................................................488 DLL Implementation.........................................................................489 L1Criterion DLL Implementation .................................................489 L2Criterion DLL Implementation .................................................490 LinfinityCriterion DLL Implementation..........................................491 DeltaBarDelta DLL Implementation .............................................492 Drag and Drop.................................................................................493 ErrorCriteria Drag and Drop .......................................................493 Inspectors .......................................................................................493 ErrorCriteria Inspector................................................................493 L2TemporalCriterion Inspector ...................................................494 Macro Actions .................................................................................496 Criterion ....................................................................................496 Criterion Macro Actions...............................................................................................................................496 autoSave .......................................................................................................................................................497 13
  • 14. averageOverUpdates ..................................................................................................................................497 bestCost.........................................................................................................................................................497 checkCostEvery ...........................................................................................................................................498 onIncrease.....................................................................................................................................................498 reportEvery....................................................................................................................................................498 setAutoSave..................................................................................................................................................498 setAverageOverUpdates.............................................................................................................................499 setBestCost...................................................................................................................................................499 setCheckCostEvery .....................................................................................................................................499 setOnIncrease..............................................................................................................................................500 setReportEvery.............................................................................................................................................500 setTrainTest..................................................................................................................................................500 trainTest.........................................................................................................................................................501 GradientSearch Family ..........................................................................501 ConjugateGradient ..........................................................................501 DeltaBarDelta..................................................................................503 Momentum......................................................................................504 Quickprop .......................................................................................506 Step................................................................................................506 SVMStep ........................................................................................507 Access Points .................................................................................508 Momentum Access Points..........................................................508 Quickprop Access Points ...........................................................508 Step Access Points....................................................................508 DLL Implementation.........................................................................509 Momentum DLL Implementation.................................................509 Quickprop DLL Implementation ..................................................510 Step DLL Implementation...........................................................511 Drag and Drop.................................................................................512 GradientSearch Drag and Drop ..................................................512 Inspectors .......................................................................................512 DeltaBarDelta Inspector.............................................................512 Momentum Inspector .................................................................513 Step Inspector ...........................................................................514 Macro Actions .................................................................................515 Delta Bar Delta..........................................................................515 DeltaBarDelta Macro Actions.....................................................................................................................515 beta.................................................................................................................................................................516 kappa .............................................................................................................................................................516 setBeta...........................................................................................................................................................516 setKappa.......................................................................................................................................................517 setZeta...........................................................................................................................................................517 zeta .................................................................................................................................................................517 Momentum................................................................................518 Momentum Macro Actions..........................................................................................................................518 momentumRate............................................................................................................................................518 setMomentumRate.......................................................................................................................................518 Step..........................................................................................518 Step Macro Actions......................................................................................................................................518 broadcastBumpStep....................................................................................................................................519 bumpStep......................................................................................................................................................519 individualSteps .............................................................................................................................................519 normalized.....................................................................................................................................................520 setIndividualSteps ........................................................................................................................................520 setNormalized...............................................................................................................................................520 setStepSize ...................................................................................................................................................521 stepSize .........................................................................................................................................................521 Input Family ..........................................................................................521 Access............................................................................................521 14