public void getSen(double[,] v1, double[,] v2, Sensitividades v3)
{
sensitividad = new double[v1.GetLength(0), v1.GetLength(1)];
functionD = new double[v1.GetLength(0), v1.GetLength(0)];
for (int i = 0; i < functionD.GetLength(0); i++)
{
for (int j = 0; j < functionD.GetLength(1); j++)
{
if (i == j)
{
functionD[i, j] = (1 - v1[i, 0]);
}
}
}
sensitividad = multMatrix(multMatrix(functionD, trans(v2)), v3.getThisSen());
}
public EntrenaRedNeuronal(int noCapasOc, int[] noNeuronas, int[] function, double[,] capaIn, double[,] vTarget, double alfa)
{
this.noNeuronas = noNeuronas;
this.alfa = alfa;
vIn = capaIn;
this.capaIn = new Capa(noNeuronas[0], capaIn);
this.noCapasOc = noCapasOc;
this.capasOc = new Capa[noCapasOc];
//this.capaIn.setError(0.0);
this.function = function;
this.capaIn.setFunction(function[0]);
this.capaIn.setVIn(capaIn);
for (int i = 0; i < noCapasOc; i++)
{
this.capasOc[i] = new Capa(function[i + 1]);
}
setVTarget(vTarget);
sen = new Sensitividades[noCapasOc + 2];
for (int i = 0; i < noCapasOc + 2; i++)
{
sen[i] = new Sensitividades();
}
}
