Redes neuronas

PRACTICA

REDES NEURONAS

Xor.pat

2 2 1

Alpha=0.1
Target RMS = 0.05
Trace Period = 100
Init Range = 1.0
RMS to be ok = 0.3-----------------------------------------------------------------------------------
RMS Error = 0.049997 (15359 epoch)

2 2 1

Alpha=1
Target RMS = 0.05
Trace Period = 100
Init Range = 1.0
RMS to be ok = 0.3-----------------------------------------------------------------------------------
RMS Error = 0.049973 (1518 epoch)

Circulo.pat

2 5 5 3

Alpha=0.1
Target RMS = 0.05
Trace Period = 100
Init Range =1.0
RMS to be ok = 0.3
-----------------------------------------------------------------------------------
RMS Error = 0.049986 (4346 epoch)

2 3 3 3

Alpha=0.1
Target RMS = 0.05Trace Period = 100
Init Range = 1.0
RMS to be ok = 0.3
-----------------------------------------------------------------------------------
RMS Error = 0.049998 (9686 epoch)

2 2 2 3Malos resultados

Seno.pat

1 3 1

Alpha=0.1
Target RMS = 0.05
Trace Period = 100
Init Range = 1.0
RMS to be ok = 0.3-----------------------------------------------------------------------------------
RMS Error = 0.049997 (4725 epoch)
RMS Test = 0.055208
100% de los ejemplos de entrenamiento por debajo de un error de 0.06

1 2 1

Malos resultados

1 1 1 1Malos resultados

Sensoresindent.pat

.
19 2 2 223

Malos resultados

19 5 5 223

Malos resultados

19 7 7 223

Malos resultados

19 8 8 223

Alpha=0.1
Target RMS =0.05
Trace Period = 10
Init Range = 1.0
RMS to be ok = 0.3
-----------------------------------------------------------------------------------
RMS Error = 0.049990 (910 epoch)
RMS Test= 0.101213
83% de los ejemplos de entrenamiento por debajo de un error de 0.11

19 9 9 223

Alpha=0.1
Target RMS = 0.05
Trace Period = 100
Init Range = 1.0
RMS to be ok = 0.3...