public static void prtPesos1(RedNeuronal rn)
{
Console.WriteLine("########################## PESOS 1 ##########################");
for (int i = 0; i < 20; i++)
{
for (int j = 0; j < 35; j++)
{
Console.WriteLine("Peso 1 " + j + " " + i + ": " + rn.getPesosE()[j, i]);
}
}
}
public static void ajustarPesosBP(RedNeuronal rn, double error, int neuSalida)
{
double[] oculta = rn.getOculta();
int tamaño_oculta = oculta.Length;
double[] WD = new double[tamaño_oculta];
double[] SOD = new double[tamaño_oculta];
double[] PesosDWD = new double[rn.getPesosE().Length];
double[] entrada = (double[])rn.getEntrada().Clone();
double[,] PreChanges = (double[, ])rn.getPesosSCopia().Clone();
double[] ocultaSP = rn.getOcultaSP();
for (int i = 0; i < WD.Length; i++)
{
WD[i] = oculta[i] * error;
}
double[,] pesos2 = rn.getPesosS();
for (int i = 0; i < WD.Length; i++)
{
pesos2[i, neuSalida] = WD[i];
}
double pesoPrimerCapa = 0;
for (int i = 0; i < WD.Length; i++)
{
pesoPrimerCapa = PreChanges[i, neuSalida] * error;
pesoPrimerCapa *= ocultaSP[i];
SOD[i] = pesoPrimerCapa;
}
for (int i = 0; i < oculta.Length; i++)
{
for (int j = 0; j < entrada.Length; j++)
{
rn.pesosE[j, i] += SOD[i] * entrada[i];
}
}
}