public override DecisionNetDNA <T> mutate()
{
DecisionNetDNA <T> mutated = Clone();
mutated.m_weights = MatrixCalc.elementwiseRandomMultiply(m_weights, m_mutation_multiplier);
mutated.m_weights = MatrixCalc.columnNormalize(mutated.m_weights);
return(mutated);
}
public override NeuralNetDNA <T> mutate()
{
NeuralNetDNA <T> mutated = Clone();
for (int i = 0; i < m_weights.Length; i++)
{
bool test = BoolCalc.random();
Range <float> mut = test ? m_mutation_multiplier : new Range <float>(-m_mutation_multiplier.Min, -m_mutation_multiplier.Max);
mutated.m_weights[i] = MatrixCalc.elementwiseRandomMultiply(m_weights[i], mut);
}
return(mutated);
}