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Redes Neuronales
IDENTIFICA NÚMEROS DIGITALES
Víctor Viera BalantaVíctor Viera Balanta CALI-COLOMBIACALI-COLOMBIA
Redes Neuronales
Identifica Números Digitales
Víctor Viera BalantaVíctor Viera Balanta
Redes Neuronales
IDENTIFICA NÚMEROS DIGITALES
Víctor Viera BalantaVíctor Viera Balanta
Redes Neuronales
Identifica Números Digitales
Víctor Viera BalantaVíctor Viera Balanta
11
00
11
11
11
11
00
77
11
22
33
44
55
66
00
11
11
00
Redes Neuronales
Identifica Números Digitales
Víctor Viera BalantaVíctor Viera Balanta
11
11
11
11
11
11
11
77
11
22
33
44
55
66
11
00
00
00
Redes Neuronales
Aprende Números Digitales
Víctor Viera BalantaVíctor Viera Balanta
1 2 3 4 5 6 7
00 11 11 11 00 11 11
númeronúmero
55
BinarioBinario
01010101
77
11
22
33
44
55
66
Redes Neuronales
Aprende Números Digitales
Víctor Viera BalantaVíctor Viera Balanta
1 2 3 4 5 6 7
00 11 11 11 11 11 11
númeronúmero
66
BinarioBinario
01100110
77
11
22
33
44
55
66
Redes Neuronales
Aprende Números Digitales
Víctor Viera BalantaVíctor Viera Balanta
1 2 3 4 5 6 7
11 00 00 00 00 00 11
númeronúmero
11
BinarioBinario
00010001
77
11
22
33
44
55
66
Redes Neuronales
Aprende Números Digitales
Víctor Viera BalantaVíctor Viera Balanta
1 2 3 4 5 6 7
11 11 11 00 11 11 11
11 00 00 00 00 00 11
11 11 00 11 11 11 00
11 11 00 11 00 11 11
11 00 11 11 00 00 11
00 11 11 11 00 11 11
00 11 11 11 11 11 11
11 11 00 00 00 00 11
11 11 11 11 11 11 11
11 11 11 11 00 11 11
númeronúmero
00
11
22
33
44
55
66
77
88
99
Redes Neuronales
Aprende Números Digitales
Víctor Viera BalantaVíctor Viera Balanta
1 2 3 4 5 6 7
11 11 11 00 11 11 11
11 00 00 00 00 00 11
11 11 00 11 11 11 00
11 11 00 11 00 11 11
11 00 11 11 00 00 11
00 11 11 11 00 11 11
00 11 11 11 11 11 11
11 11 00 00 00 00 11
11 11 11 11 11 11 11
11 11 11 11 00 11 11
númeronúmero
00
11
22
33
44
55
66
77
88
99
BinarioBinario
00000000
00010001
00100010
00110011
01000100
01010101
01100110
01110111
10001000
10011001
Redes Neuronales
Resultados
Víctor Viera BalantaVíctor Viera Balanta
****** epoca 0 ********Iteración 5230 ***************** epoca 0 ********Iteración 5230 ***********
1.0,1.0,1.0,0.0,1.0,1.0,1.0,Aprende 0.0 0.0 0.0 0.0 Salida-> 0.0 0.0 0.0 0.0** 0.01.0,1.0,1.0,0.0,1.0,1.0,1.0,Aprende 0.0 0.0 0.0 0.0 Salida-> 0.0 0.0 0.0 0.0** 0.0
1.0,0.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 0.0 0.0 1.0 Salida-> 0.0 0.0 0.0 1.0** 1.01.0,0.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 0.0 0.0 1.0 Salida-> 0.0 0.0 0.0 1.0** 1.0
1.0,1.0,0.0,1.0,1.0,1.0,0.0,Aprende 0.0 0.0 1.0 0.0 Salida-> 0.0 0.0 1.0 0.0** 2.01.0,1.0,0.0,1.0,1.0,1.0,0.0,Aprende 0.0 0.0 1.0 0.0 Salida-> 0.0 0.0 1.0 0.0** 2.0
1.0,1.0,0.0,1.0,0.0,1.0,1.0,Aprende 0.0 0.0 1.0 1.0 Salida-> 0.0 0.0 1.0 1.0** 3.01.0,1.0,0.0,1.0,0.0,1.0,1.0,Aprende 0.0 0.0 1.0 1.0 Salida-> 0.0 0.0 1.0 1.0** 3.0
1.0,0.0,1.0,1.0,0.0,0.0,1.0,Aprende 0.0 1.0 0.0 0.0 Salida-> 0.0 1.0 0.0 0.0** 4.01.0,0.0,1.0,1.0,0.0,0.0,1.0,Aprende 0.0 1.0 0.0 0.0 Salida-> 0.0 1.0 0.0 0.0** 4.0
0.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 0.0 1.0 0.0 1.0 Salida-> 0.0 1.0 0.0 1.0** 5.00.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 0.0 1.0 0.0 1.0 Salida-> 0.0 1.0 0.0 1.0** 5.0
0.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 0.0 1.0 1.0 0.0 Salida-> 0.0 1.0 1.0 0.0** 6.00.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 0.0 1.0 1.0 0.0 Salida-> 0.0 1.0 1.0 0.0** 6.0
1.0,1.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 1.0 1.0 1.0 Salida-> 0.0 1.0 1.0 1.0** 7.01.0,1.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 1.0 1.0 1.0 Salida-> 0.0 1.0 1.0 1.0** 7.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 1.0 0.0 0.0 0.0 Salida-> 1.0 0.0 0.0 0.0** 8.01.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 1.0 0.0 0.0 0.0 Salida-> 1.0 0.0 0.0 0.0** 8.0
1.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 1.0 0.0 0.0 1.0 Salida-> 1.0 0.0 0.0 1.0** 9.01.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 1.0 0.0 0.0 1.0 Salida-> 1.0 0.0 0.0 1.0** 9.0
Redes Neuronales
Resultados
Víctor Viera BalantaVíctor Viera Balanta
****** epoca 0 ********Iteración 5353 ***************** epoca 0 ********Iteración 5353 ***********
1.0,1.0,1.0,0.0,1.0,1.0,1.0,Aprende 0.0 0.0 0.0 0.0 Salida-> 0.0 0.0 0.0 0.0** 0.01.0,1.0,1.0,0.0,1.0,1.0,1.0,Aprende 0.0 0.0 0.0 0.0 Salida-> 0.0 0.0 0.0 0.0** 0.0
1.0,0.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 0.0 0.0 1.0 Salida-> 0.0 0.0 0.0 1.0** 1.01.0,0.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 0.0 0.0 1.0 Salida-> 0.0 0.0 0.0 1.0** 1.0
1.0,1.0,0.0,1.0,1.0,1.0,0.0,Aprende 0.0 0.0 1.0 0.0 Salida-> 0.0 0.0 1.0 0.0** 2.01.0,1.0,0.0,1.0,1.0,1.0,0.0,Aprende 0.0 0.0 1.0 0.0 Salida-> 0.0 0.0 1.0 0.0** 2.0
1.0,1.0,0.0,1.0,0.0,1.0,1.0,Aprende 0.0 0.0 1.0 1.0 Salida-> 0.0 0.0 1.0 1.0** 3.01.0,1.0,0.0,1.0,0.0,1.0,1.0,Aprende 0.0 0.0 1.0 1.0 Salida-> 0.0 0.0 1.0 1.0** 3.0
1.0,0.0,1.0,1.0,0.0,0.0,1.0,Aprende 0.0 1.0 0.0 0.0 Salida-> 0.0 1.0 0.0 0.0** 4.01.0,0.0,1.0,1.0,0.0,0.0,1.0,Aprende 0.0 1.0 0.0 0.0 Salida-> 0.0 1.0 0.0 0.0** 4.0
0.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 0.0 1.0 0.0 1.0 Salida-> 0.0 1.0 0.0 1.0** 5.00.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 0.0 1.0 0.0 1.0 Salida-> 0.0 1.0 0.0 1.0** 5.0
0.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 0.0 1.0 1.0 0.0 Salida-> 0.0 1.0 1.0 0.0** 6.00.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 0.0 1.0 1.0 0.0 Salida-> 0.0 1.0 1.0 0.0** 6.0
1.0,1.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 1.0 1.0 1.0 Salida-> 0.0 1.0 1.0 1.0** 7.01.0,1.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 1.0 1.0 1.0 Salida-> 0.0 1.0 1.0 1.0** 7.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 1.0 0.0 0.0 0.0 Salida-> 1.0 0.0 0.0 0.0** 8.01.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 1.0 0.0 0.0 0.0 Salida-> 1.0 0.0 0.0 0.0** 8.0
1.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 1.0 0.0 0.0 1.0 Salida-> 1.0 0.0 0.0 1.0** 9.01.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 1.0 0.0 0.0 1.0 Salida-> 1.0 0.0 0.0 1.0** 9.0
Redes Neuronales
Resultados
Víctor Viera BalantaVíctor Viera Balanta
****** epoca 0 ********Iteración 5230 ***************** epoca 0 ********Iteración 5230 ***********
1.0,1.0,1.0,0.0,1.0,1.0,1.0,Aprende 0.0 0.0 0.0 0.0 Salida-> 0.0 0.0 0.0 0.0** 0.01.0,1.0,1.0,0.0,1.0,1.0,1.0,Aprende 0.0 0.0 0.0 0.0 Salida-> 0.0 0.0 0.0 0.0** 0.0
1.0,0.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 0.0 0.0 1.0 Salida-> 0.0 0.0 0.0 1.0** 1.01.0,0.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 0.0 0.0 1.0 Salida-> 0.0 0.0 0.0 1.0** 1.0
1.0,1.0,0.0,1.0,1.0,1.0,0.0,Aprende 0.0 0.0 1.0 0.0 Salida-> 0.0 0.0 1.0 0.0** 2.01.0,1.0,0.0,1.0,1.0,1.0,0.0,Aprende 0.0 0.0 1.0 0.0 Salida-> 0.0 0.0 1.0 0.0** 2.0
1.0,1.0,0.0,1.0,0.0,1.0,1.0,Aprende 0.0 0.0 1.0 1.0 Salida-> 0.0 0.0 1.0 1.0** 3.01.0,1.0,0.0,1.0,0.0,1.0,1.0,Aprende 0.0 0.0 1.0 1.0 Salida-> 0.0 0.0 1.0 1.0** 3.0
1.0,0.0,1.0,1.0,0.0,0.0,1.0,Aprende 0.0 1.0 0.0 0.0 Salida-> 0.0 1.0 0.0 0.0** 4.01.0,0.0,1.0,1.0,0.0,0.0,1.0,Aprende 0.0 1.0 0.0 0.0 Salida-> 0.0 1.0 0.0 0.0** 4.0
0.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 0.0 1.0 0.0 1.0 Salida-> 0.0 1.0 0.0 1.0** 5.00.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 0.0 1.0 0.0 1.0 Salida-> 0.0 1.0 0.0 1.0** 5.0
0.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 0.0 1.0 1.0 0.0 Salida-> 0.0 1.0 1.0 0.0** 6.00.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 0.0 1.0 1.0 0.0 Salida-> 0.0 1.0 1.0 0.0** 6.0
1.0,1.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 1.0 1.0 1.0 Salida-> 0.0 1.0 1.0 1.0** 7.01.0,1.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 1.0 1.0 1.0 Salida-> 0.0 1.0 1.0 1.0** 7.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 1.0 0.0 0.0 0.0 Salida-> 1.0 0.0 0.0 0.0** 8.01.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 1.0 0.0 0.0 0.0 Salida-> 1.0 0.0 0.0 0.0** 8.0
1.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 1.0 0.0 0.0 1.0 Salida-> 1.0 0.0 0.0 1.0** 9.01.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 1.0 0.0 0.0 1.0 Salida-> 1.0 0.0 0.0 1.0** 9.0
Redes Neuronales
Resultados
Víctor Viera BalantaVíctor Viera Balanta
Redes Neuronales
Código Fuente
Víctor Viera BalantaVíctor Viera Balanta
Entrenamiento de Red Neuronal
Víctor Viera BalantaVíctor Viera Balanta
EntrenamientoEntrenamiento
Víctor Viera BalantaVíctor Viera Balanta
K
J
J
I
I
K
BackPropagation
Víctor Viera BalantaVíctor Viera Balanta
K
J
J
I
I
K
BackPropagation
BackPropagation
Víctor Viera BalantaVíctor Viera Balanta
K
J
J
I
I
K
Ej=Oj∗(1−Oj)∗∑Ek∗Wjk
Ej=Oj∗(1−Oj)∗∑Ek∗Wjk
K
Entrenamiento de Red Neuronal
● En el siguiente video puedes ver más detalles de la
implementación de la Red neuronal
● http://www.youtube.com/watch?v=-9H_eVZdtN8
Víctor Viera BalantaVíctor Viera Balanta
BackPropagation
Víctor Viera BalantaVíctor Viera Balanta
K
J
J
I
I
K
Wij=Wij+L∗Ej∗Oi
Wij=Wij+L∗Ej∗Oi
Entrenamiento de Neurona
Víctor Viera BalantaVíctor Viera Balanta
EntradasEntradas
Salidas
Función de ActivaciónFunción de Activación
ww
II
Entrenamiento de Red Neuronal
Víctor Viera BalantaVíctor Viera Balanta
Función de ActivaciónFunción de Activación
SigmoideSigmoide
0.5
00
11
ActivaciónActivación
11
____________
a/pa/p
1+ e1+ e
Entrenamiento de Neurona
Víctor Viera BalantaVíctor Viera Balanta
SigmoideSigmoide
/*** @author victor**//*** @author victor**/
public class Sigmoide {public class Sigmoide {
double e;double e;
double p;double p;
public Sigmoide(){public Sigmoide(){
e = Math.E; p=1;e = Math.E; p=1;
}}
public double funcion(double a){public double funcion(double a){
return(1/(1+ Math.pow(e, -a/p)));return(1/(1+ Math.pow(e, -a/p)));
}}
}
Entrenamiento de Red Neuronal
Víctor Viera BalantaVíctor Viera Balanta
Función de ActivaciónFunción de Activación
NeuronaNeurona
Entradas
Pesos
Salidas
Sigmoide
Activacion()
LlenaSalidas()
getSalidas()
Entrenamiento de Red Neuronal
● En el siguiente video puedes ver más detalles de la
implementación de la Red neuronal
● http://www.youtube.com/watch?v=-9H_eVZdtN8
Víctor Viera BalantaVíctor Viera Balanta

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Redes Neuronales

  • 1. Redes Neuronales IDENTIFICA NÚMEROS DIGITALES Víctor Viera BalantaVíctor Viera Balanta CALI-COLOMBIACALI-COLOMBIA
  • 2. Redes Neuronales Identifica Números Digitales Víctor Viera BalantaVíctor Viera Balanta
  • 3. Redes Neuronales IDENTIFICA NÚMEROS DIGITALES Víctor Viera BalantaVíctor Viera Balanta
  • 4. Redes Neuronales Identifica Números Digitales Víctor Viera BalantaVíctor Viera Balanta 11 00 11 11 11 11 00 77 11 22 33 44 55 66 00 11 11 00
  • 5. Redes Neuronales Identifica Números Digitales Víctor Viera BalantaVíctor Viera Balanta 11 11 11 11 11 11 11 77 11 22 33 44 55 66 11 00 00 00
  • 6. Redes Neuronales Aprende Números Digitales Víctor Viera BalantaVíctor Viera Balanta 1 2 3 4 5 6 7 00 11 11 11 00 11 11 númeronúmero 55 BinarioBinario 01010101 77 11 22 33 44 55 66
  • 7. Redes Neuronales Aprende Números Digitales Víctor Viera BalantaVíctor Viera Balanta 1 2 3 4 5 6 7 00 11 11 11 11 11 11 númeronúmero 66 BinarioBinario 01100110 77 11 22 33 44 55 66
  • 8. Redes Neuronales Aprende Números Digitales Víctor Viera BalantaVíctor Viera Balanta 1 2 3 4 5 6 7 11 00 00 00 00 00 11 númeronúmero 11 BinarioBinario 00010001 77 11 22 33 44 55 66
  • 9. Redes Neuronales Aprende Números Digitales Víctor Viera BalantaVíctor Viera Balanta 1 2 3 4 5 6 7 11 11 11 00 11 11 11 11 00 00 00 00 00 11 11 11 00 11 11 11 00 11 11 00 11 00 11 11 11 00 11 11 00 00 11 00 11 11 11 00 11 11 00 11 11 11 11 11 11 11 11 00 00 00 00 11 11 11 11 11 11 11 11 11 11 11 11 00 11 11 númeronúmero 00 11 22 33 44 55 66 77 88 99
  • 10. Redes Neuronales Aprende Números Digitales Víctor Viera BalantaVíctor Viera Balanta 1 2 3 4 5 6 7 11 11 11 00 11 11 11 11 00 00 00 00 00 11 11 11 00 11 11 11 00 11 11 00 11 00 11 11 11 00 11 11 00 00 11 00 11 11 11 00 11 11 00 11 11 11 11 11 11 11 11 00 00 00 00 11 11 11 11 11 11 11 11 11 11 11 11 00 11 11 númeronúmero 00 11 22 33 44 55 66 77 88 99 BinarioBinario 00000000 00010001 00100010 00110011 01000100 01010101 01100110 01110111 10001000 10011001
  • 11. Redes Neuronales Resultados Víctor Viera BalantaVíctor Viera Balanta ****** epoca 0 ********Iteración 5230 ***************** epoca 0 ********Iteración 5230 *********** 1.0,1.0,1.0,0.0,1.0,1.0,1.0,Aprende 0.0 0.0 0.0 0.0 Salida-> 0.0 0.0 0.0 0.0** 0.01.0,1.0,1.0,0.0,1.0,1.0,1.0,Aprende 0.0 0.0 0.0 0.0 Salida-> 0.0 0.0 0.0 0.0** 0.0 1.0,0.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 0.0 0.0 1.0 Salida-> 0.0 0.0 0.0 1.0** 1.01.0,0.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 0.0 0.0 1.0 Salida-> 0.0 0.0 0.0 1.0** 1.0 1.0,1.0,0.0,1.0,1.0,1.0,0.0,Aprende 0.0 0.0 1.0 0.0 Salida-> 0.0 0.0 1.0 0.0** 2.01.0,1.0,0.0,1.0,1.0,1.0,0.0,Aprende 0.0 0.0 1.0 0.0 Salida-> 0.0 0.0 1.0 0.0** 2.0 1.0,1.0,0.0,1.0,0.0,1.0,1.0,Aprende 0.0 0.0 1.0 1.0 Salida-> 0.0 0.0 1.0 1.0** 3.01.0,1.0,0.0,1.0,0.0,1.0,1.0,Aprende 0.0 0.0 1.0 1.0 Salida-> 0.0 0.0 1.0 1.0** 3.0 1.0,0.0,1.0,1.0,0.0,0.0,1.0,Aprende 0.0 1.0 0.0 0.0 Salida-> 0.0 1.0 0.0 0.0** 4.01.0,0.0,1.0,1.0,0.0,0.0,1.0,Aprende 0.0 1.0 0.0 0.0 Salida-> 0.0 1.0 0.0 0.0** 4.0 0.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 0.0 1.0 0.0 1.0 Salida-> 0.0 1.0 0.0 1.0** 5.00.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 0.0 1.0 0.0 1.0 Salida-> 0.0 1.0 0.0 1.0** 5.0 0.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 0.0 1.0 1.0 0.0 Salida-> 0.0 1.0 1.0 0.0** 6.00.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 0.0 1.0 1.0 0.0 Salida-> 0.0 1.0 1.0 0.0** 6.0 1.0,1.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 1.0 1.0 1.0 Salida-> 0.0 1.0 1.0 1.0** 7.01.0,1.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 1.0 1.0 1.0 Salida-> 0.0 1.0 1.0 1.0** 7.0 1.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 1.0 0.0 0.0 0.0 Salida-> 1.0 0.0 0.0 0.0** 8.01.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 1.0 0.0 0.0 0.0 Salida-> 1.0 0.0 0.0 0.0** 8.0 1.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 1.0 0.0 0.0 1.0 Salida-> 1.0 0.0 0.0 1.0** 9.01.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 1.0 0.0 0.0 1.0 Salida-> 1.0 0.0 0.0 1.0** 9.0
  • 12. Redes Neuronales Resultados Víctor Viera BalantaVíctor Viera Balanta ****** epoca 0 ********Iteración 5353 ***************** epoca 0 ********Iteración 5353 *********** 1.0,1.0,1.0,0.0,1.0,1.0,1.0,Aprende 0.0 0.0 0.0 0.0 Salida-> 0.0 0.0 0.0 0.0** 0.01.0,1.0,1.0,0.0,1.0,1.0,1.0,Aprende 0.0 0.0 0.0 0.0 Salida-> 0.0 0.0 0.0 0.0** 0.0 1.0,0.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 0.0 0.0 1.0 Salida-> 0.0 0.0 0.0 1.0** 1.01.0,0.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 0.0 0.0 1.0 Salida-> 0.0 0.0 0.0 1.0** 1.0 1.0,1.0,0.0,1.0,1.0,1.0,0.0,Aprende 0.0 0.0 1.0 0.0 Salida-> 0.0 0.0 1.0 0.0** 2.01.0,1.0,0.0,1.0,1.0,1.0,0.0,Aprende 0.0 0.0 1.0 0.0 Salida-> 0.0 0.0 1.0 0.0** 2.0 1.0,1.0,0.0,1.0,0.0,1.0,1.0,Aprende 0.0 0.0 1.0 1.0 Salida-> 0.0 0.0 1.0 1.0** 3.01.0,1.0,0.0,1.0,0.0,1.0,1.0,Aprende 0.0 0.0 1.0 1.0 Salida-> 0.0 0.0 1.0 1.0** 3.0 1.0,0.0,1.0,1.0,0.0,0.0,1.0,Aprende 0.0 1.0 0.0 0.0 Salida-> 0.0 1.0 0.0 0.0** 4.01.0,0.0,1.0,1.0,0.0,0.0,1.0,Aprende 0.0 1.0 0.0 0.0 Salida-> 0.0 1.0 0.0 0.0** 4.0 0.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 0.0 1.0 0.0 1.0 Salida-> 0.0 1.0 0.0 1.0** 5.00.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 0.0 1.0 0.0 1.0 Salida-> 0.0 1.0 0.0 1.0** 5.0 0.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 0.0 1.0 1.0 0.0 Salida-> 0.0 1.0 1.0 0.0** 6.00.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 0.0 1.0 1.0 0.0 Salida-> 0.0 1.0 1.0 0.0** 6.0 1.0,1.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 1.0 1.0 1.0 Salida-> 0.0 1.0 1.0 1.0** 7.01.0,1.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 1.0 1.0 1.0 Salida-> 0.0 1.0 1.0 1.0** 7.0 1.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 1.0 0.0 0.0 0.0 Salida-> 1.0 0.0 0.0 0.0** 8.01.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 1.0 0.0 0.0 0.0 Salida-> 1.0 0.0 0.0 0.0** 8.0 1.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 1.0 0.0 0.0 1.0 Salida-> 1.0 0.0 0.0 1.0** 9.01.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 1.0 0.0 0.0 1.0 Salida-> 1.0 0.0 0.0 1.0** 9.0
  • 13. Redes Neuronales Resultados Víctor Viera BalantaVíctor Viera Balanta ****** epoca 0 ********Iteración 5230 ***************** epoca 0 ********Iteración 5230 *********** 1.0,1.0,1.0,0.0,1.0,1.0,1.0,Aprende 0.0 0.0 0.0 0.0 Salida-> 0.0 0.0 0.0 0.0** 0.01.0,1.0,1.0,0.0,1.0,1.0,1.0,Aprende 0.0 0.0 0.0 0.0 Salida-> 0.0 0.0 0.0 0.0** 0.0 1.0,0.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 0.0 0.0 1.0 Salida-> 0.0 0.0 0.0 1.0** 1.01.0,0.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 0.0 0.0 1.0 Salida-> 0.0 0.0 0.0 1.0** 1.0 1.0,1.0,0.0,1.0,1.0,1.0,0.0,Aprende 0.0 0.0 1.0 0.0 Salida-> 0.0 0.0 1.0 0.0** 2.01.0,1.0,0.0,1.0,1.0,1.0,0.0,Aprende 0.0 0.0 1.0 0.0 Salida-> 0.0 0.0 1.0 0.0** 2.0 1.0,1.0,0.0,1.0,0.0,1.0,1.0,Aprende 0.0 0.0 1.0 1.0 Salida-> 0.0 0.0 1.0 1.0** 3.01.0,1.0,0.0,1.0,0.0,1.0,1.0,Aprende 0.0 0.0 1.0 1.0 Salida-> 0.0 0.0 1.0 1.0** 3.0 1.0,0.0,1.0,1.0,0.0,0.0,1.0,Aprende 0.0 1.0 0.0 0.0 Salida-> 0.0 1.0 0.0 0.0** 4.01.0,0.0,1.0,1.0,0.0,0.0,1.0,Aprende 0.0 1.0 0.0 0.0 Salida-> 0.0 1.0 0.0 0.0** 4.0 0.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 0.0 1.0 0.0 1.0 Salida-> 0.0 1.0 0.0 1.0** 5.00.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 0.0 1.0 0.0 1.0 Salida-> 0.0 1.0 0.0 1.0** 5.0 0.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 0.0 1.0 1.0 0.0 Salida-> 0.0 1.0 1.0 0.0** 6.00.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 0.0 1.0 1.0 0.0 Salida-> 0.0 1.0 1.0 0.0** 6.0 1.0,1.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 1.0 1.0 1.0 Salida-> 0.0 1.0 1.0 1.0** 7.01.0,1.0,0.0,0.0,0.0,0.0,1.0,Aprende 0.0 1.0 1.0 1.0 Salida-> 0.0 1.0 1.0 1.0** 7.0 1.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 1.0 0.0 0.0 0.0 Salida-> 1.0 0.0 0.0 0.0** 8.01.0,1.0,1.0,1.0,1.0,1.0,1.0,Aprende 1.0 0.0 0.0 0.0 Salida-> 1.0 0.0 0.0 0.0** 8.0 1.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 1.0 0.0 0.0 1.0 Salida-> 1.0 0.0 0.0 1.0** 9.01.0,1.0,1.0,1.0,0.0,1.0,1.0,Aprende 1.0 0.0 0.0 1.0 Salida-> 1.0 0.0 0.0 1.0** 9.0
  • 14. Redes Neuronales Resultados Víctor Viera BalantaVíctor Viera Balanta
  • 15. Redes Neuronales Código Fuente Víctor Viera BalantaVíctor Viera Balanta
  • 16. Entrenamiento de Red Neuronal Víctor Viera BalantaVíctor Viera Balanta EntrenamientoEntrenamiento
  • 17. Víctor Viera BalantaVíctor Viera Balanta K J J I I K BackPropagation
  • 18. Víctor Viera BalantaVíctor Viera Balanta K J J I I K BackPropagation
  • 19. BackPropagation Víctor Viera BalantaVíctor Viera Balanta K J J I I K Ej=Oj∗(1−Oj)∗∑Ek∗Wjk Ej=Oj∗(1−Oj)∗∑Ek∗Wjk K
  • 20. Entrenamiento de Red Neuronal ● En el siguiente video puedes ver más detalles de la implementación de la Red neuronal ● http://www.youtube.com/watch?v=-9H_eVZdtN8 Víctor Viera BalantaVíctor Viera Balanta
  • 21. BackPropagation Víctor Viera BalantaVíctor Viera Balanta K J J I I K Wij=Wij+L∗Ej∗Oi Wij=Wij+L∗Ej∗Oi
  • 22. Entrenamiento de Neurona Víctor Viera BalantaVíctor Viera Balanta EntradasEntradas Salidas Función de ActivaciónFunción de Activación ww II
  • 23. Entrenamiento de Red Neuronal Víctor Viera BalantaVíctor Viera Balanta Función de ActivaciónFunción de Activación SigmoideSigmoide 0.5 00 11 ActivaciónActivación 11 ____________ a/pa/p 1+ e1+ e
  • 24. Entrenamiento de Neurona Víctor Viera BalantaVíctor Viera Balanta SigmoideSigmoide /*** @author victor**//*** @author victor**/ public class Sigmoide {public class Sigmoide { double e;double e; double p;double p; public Sigmoide(){public Sigmoide(){ e = Math.E; p=1;e = Math.E; p=1; }} public double funcion(double a){public double funcion(double a){ return(1/(1+ Math.pow(e, -a/p)));return(1/(1+ Math.pow(e, -a/p))); }} }
  • 25. Entrenamiento de Red Neuronal Víctor Viera BalantaVíctor Viera Balanta Función de ActivaciónFunción de Activación NeuronaNeurona Entradas Pesos Salidas Sigmoide Activacion() LlenaSalidas() getSalidas()
  • 26. Entrenamiento de Red Neuronal ● En el siguiente video puedes ver más detalles de la implementación de la Red neuronal ● http://www.youtube.com/watch?v=-9H_eVZdtN8 Víctor Viera BalantaVíctor Viera Balanta