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Intelligent Systems CSCI 6501 Dr. D. Riordan Pradeep Monga (B00342080) Satwant Sandhu (B00201045)
[object Object],FINAL REPORT
[object Object],[object Object],Overview
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Contd…
[object Object],[object Object],[object Object],[object Object],[object Object],Problem Formulation
[object Object],GAMBLE
Implementation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Branches and Parameters Table showing sample threshold values of branches in different parameters X CHAD = 8 X MEAD = 5 X ELAD = 4 X CSAD = 7 ADAPTABILITY X CHAS = 5 X MEAS = 8 X ELAS = 7 X CSAS = 4 AESTHETIC SENSE X CHMM = 8 X MEMM = 2 X ELMM =10 X CSMM = 3 MEMORY X CHLG = 2 X MELG = 8 X ELLG = 3 X CSLG =10 LOGIC CHEM. MECH. ELECT. COMP.
Calculation of Branch Aptitude Total ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What GAMBLE does? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
How are classifier strings generated? Rules 1 if input > Avg + Sd/2 0 if input < Avg – Sd/2 $ if Avg – Sd/2 < input < Avg # if Avg > input > Avg + Sd/2 In this case the generated string is “1$0$” where 1 is for logic, $ is for memory, 0 is for Aesthetic-sense $ is for Adaptability 0.54 0.65 1.14 0.99 Standard deviation / 2 5.2 2.8 5.0 6.4 Average 5 1 4 10 Input Scores adaptability Aesthetic - sense Memory Logic
More insight.. Performance
Comparison between two classifiers ,[object Object],[object Object],[object Object],[object Object],[object Object]
Learning Process ,[object Object],[object Object],[object Object],[object Object],[object Object]
Artificial Classifier generation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object],[object Object]
References ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Contd.. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]

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final report (ppt)

  • 1. Intelligent Systems CSCI 6501 Dr. D. Riordan Pradeep Monga (B00342080) Satwant Sandhu (B00201045)
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8. Branches and Parameters Table showing sample threshold values of branches in different parameters X CHAD = 8 X MEAD = 5 X ELAD = 4 X CSAD = 7 ADAPTABILITY X CHAS = 5 X MEAS = 8 X ELAS = 7 X CSAS = 4 AESTHETIC SENSE X CHMM = 8 X MEMM = 2 X ELMM =10 X CSMM = 3 MEMORY X CHLG = 2 X MELG = 8 X ELLG = 3 X CSLG =10 LOGIC CHEM. MECH. ELECT. COMP.
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  • 11. How are classifier strings generated? Rules 1 if input > Avg + Sd/2 0 if input < Avg – Sd/2 $ if Avg – Sd/2 < input < Avg # if Avg > input > Avg + Sd/2 In this case the generated string is “1$0$” where 1 is for logic, $ is for memory, 0 is for Aesthetic-sense $ is for Adaptability 0.54 0.65 1.14 0.99 Standard deviation / 2 5.2 2.8 5.0 6.4 Average 5 1 4 10 Input Scores adaptability Aesthetic - sense Memory Logic
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