public void CalculateOutputLayerSignalError(double[] Desired)
{
for (int i = 0; i < this.Neurons.Length; ++i)
{
double DiffY = new ActivationFunctions().D_Sigmoid(this.Neurons[i].V, 1.0);
//double DiffY = new ActivationFunctions().D_Hyperb(this.Neurons[i].V);
this.Neurons[i].SignalError = (Desired[i] - this.Neurons[i].Y) * DiffY;
}
}
public void CalculateSignalError(Layer L)
{
for (int i = 0; i < this.NumberOfNeurons; ++i)
{
double sum = 0;
for (int j = 0; j < L.Neurons.Length; ++j)
{
sum += L.Neurons[j].SignalError * L.Neurons[j].Weights[i + 1];
}
double DiffY = new ActivationFunctions().D_Sigmoid(this.Neurons[i].V, 1.0);
// double DiffY = new ActivationFunctions().D_Hyperb(this.Neurons[i].V);
this.Neurons[i].SignalError = DiffY * sum;
}
}
