public void DeltawertBerechen(double[] outputSoll)
{
if (outputSoll.Length != NeuronDeltaValue.Last().Length)
{
throw new Exception("Der gewollte Output hat die Falsche länge");
}
for (int i = 0; i < NeuronValue.Last().Length; ++i)
{
NeuronDeltaValue[NeuronDeltaValue.Length - 1][i] = 0;
NeuronDeltaValue[NeuronDeltaValue.Length - 1][i] = NeuroMaths.Ableitung(NeuronArt.Last(), NeuronValue.Last()[i], ArtT.Last()) * (outputSoll[i] - NeuronValue.Last()[i]);
}
for (int i0 = NeuronValue.Length - 2; i0 > 0; --i0)
{
Parallel.For(0, NeuronValue[i0].Length, i1 =>
{
NeuronDeltaValue[i0][i1] = 0;
for (int i2 = 0; i2 < NeuronValue[i0 + 1].Length; ++i2)
{
NeuronDeltaValue[i0][i1] += Weights[i0][i1][i2] * NeuronDeltaValue[i0 + 1][i2];
}
NeuronDeltaValue[i0][i1] *= NeuroMaths.Ableitung(NeuronArt[i0], NeuronValue[i0][i1], ArtT[i0]);
});
}
}
public virtual void ReinforcementLearning3(double reward, bool useAbleitung)
{
if (useAbleitung)
{
for (int i = 0; i < NeuronValue.Last().Length; ++i)
{
NeuronDeltaValue[NeuronDeltaValue.Length - 1][i] = 0;
NeuronDeltaValue[NeuronDeltaValue.Length - 1][i] = (NeuronValue.Last()[i] * reward) * NeuroMaths.Ableitung(NeuronArt.Last(), NeuronValue.Last()[i], ArtT.Last());
}
}
else
{
for (int i = 0; i < NeuronValue.Last().Length; ++i)
{
NeuronDeltaValue[NeuronDeltaValue.Length - 1][i] = 0;
NeuronDeltaValue[NeuronDeltaValue.Length - 1][i] = (NeuronValue.Last()[i] * reward);
}
}
for (int i0 = NeuronValue.Length - 2; i0 > 0; --i0)
{
for (int i1 = 0; i1 < NeuronValue[i0].Length; ++i1)
{
NeuronDeltaValue[i0][i1] = 0;
for (int i2 = 0; i2 < NeuronValue[i0 + 1].Length; ++i2)
{
NeuronDeltaValue[i0][i1] += Weights[i0][i1][i2] * NeuronDeltaValue[i0 + 1][i2];
}
NeuronDeltaValue[i0][i1] *= NeuroMaths.Ableitung(NeuronArt[i0], NeuronValue[i0][i1], ArtT[i0]);
}
}
}
public virtual void OutputBerechnen()
{
for (int i0 = 1; i0 < NeuronValue.Length; ++i0)
{
Parallel.For(0, NeuronValue[i0].Length, i1 =>
{
NeuronValue[i0][i1] = 0;
for (int i2 = 0; i2 < NeuronValue[i0 - 1].Length; ++i2)
{
NeuronValue[i0][i1] += NeuronValue[i0 - 1][i2] * Weights[i0 - 1][i2][i1];
}
NeuronValue[i0][i1] += Weights[i0 - 1][NeuronValue[i0 - 1].Length][i1];
NeuronValue[i0][i1] = NeuroMaths.Formel(NeuronArt[i0], NeuronValue[i0][i1], ArtT[i0]);
});
}
}
