void SetSigmas(double[] outputs)
{
sigma = new List <double[]>();
for (int i = 0; i < capas.Count; i++)
{
sigma.Add(new double[capas[i].neuronas.Count]);
}
for (int i = capas.Count - 1; i >= 0; i--)
{
for (int j = 0; j < capas[i].neuronas.Count; j++)
{
if (i == capas.Count - 1)
{
double y = capas[i].neuronas[j].ultimaActivacion;
sigma[i][j] = (Neurona.Sigmoide(y) - outputs[j]) * Neurona.SigmaideDerivada(y);
}
else
{
double sum = 0;
for (int k = 0; k < capas[i + 1].neuronas.Count; k++)
{
sum += capas[i + 1].neuronas[k].pesos[j] * sigma[i + 1][k];
}
sigma[i][j] = Neurona.SigmaideDerivada(capas[i].neuronas[j].ultimaActivacion) * sum;
}
}
}
}
void AddDelta()
{
for (int i = 1; i < capas.Count; i++)
{
for (int j = 0; j < capas[i].neuronas.Count; j++)
{
for (int k = 0; k < capas[i].neuronas[j].pesos.Length; k++)
{
deltas[i][j, k] += sigma[i][j] * Neurona.Sigmoide(capas[i - 1].neuronas[k].ultimaActivacion);
}
}
}
}