public static Genoma Mutate(Random r, Genoma gen,
float mutationRate, float maxPerturbation)
{
for (int layer = 0; layer < gen.W.Length; layer++)
{
float[,] m = gen.W[layer];
FloatMatrix.MatrixLoop((i, j) =>
{
if ((float)r.NextDouble() < mutationRate)
{
m[i, j] += ((float)r.NextDouble() * 2f - 1f) * maxPerturbation;
}
}, gen.W[layer].x, gen.W[layer].y);
gen.W[layer] = m;
}
return(gen);
}
public static Genoma Cross(Random r, Genoma parent1, Genoma parent2)
{
FloatMatrix[] SonW = new FloatMatrix[parent1.W.Length];
for (int layer = 0; layer < parent1.W.Length; layer++)
{
float[,] w = new float[parent1.W[layer].x, parent1.W[layer].y];
FloatMatrix.MatrixLoop((i, j) =>
{
if ((float)r.NextDouble() > 0.5)
{
w[i, j] = parent1.W[layer].GetValue(i, j);
}
else
{
w[i, j] = parent2.W[layer].GetValue(i, j);
}
}, parent1.W[layer].x, parent1.W[layer].y);
SonW[layer] = w;
}
return(new Genoma(SonW));
}
public Perceptron(Genoma genoma,
ActivationFunction activationFunction)
{
this.activationFunction = activationFunction;
W = genoma.W;
}
