public void Mutate(Func <double, double> f)
{
WeightsXH.Map(f);
WeightsHY.Map(f);
BiasH.Map(f);
BiasY.Map(f);
}
public void Train(double[] x_arr, double[] y_arr)
{
Matrix x = Matrix.FromArray(x_arr);
Matrix h = Matrix.Multiply(WeightsXH, x);
h.Add(this.BiasH);
h.Map(NeuralNetwork.Sigmoid);
Matrix y = Matrix.Multiply(WeightsHY, h);
y.Add(BiasY);
y.Map(NeuralNetwork.Sigmoid);
Matrix Targets = Matrix.FromArray(y_arr);
Matrix y_err = Matrix.Subtract(Targets, y);
Matrix Gradients = Matrix.Map(y, NeuralNetwork.DerivSigmoid);
Gradients.Multiply(y_err);
Gradients.Multiply(LearningRate);
Matrix ht = Matrix.Transpose(h);
Matrix WeightHYDeltas = Matrix.Multiply(Gradients, ht);
WeightsHY.Add(WeightHYDeltas);
BiasY.Add(Gradients);
Matrix whyt = Matrix.Transpose(WeightsHY);
Matrix h_err = Matrix.Multiply(whyt, y_err);
Matrix HiddenGradient = Matrix.Map(h, NeuralNetwork.DerivSigmoid);
HiddenGradient.Multiply(h_err);
HiddenGradient.Multiply(LearningRate);
Matrix xt = Matrix.Transpose(x);
Matrix WeightXHDeltas = Matrix.Multiply(HiddenGradient, xt);
WeightsXH.Add(WeightXHDeltas);
BiasH.Add(HiddenGradient);
}
