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 DecisionNetDNA(int p_id, DInputFactory <T>[] p_inputs, DOutputFactory <T>[] p_outputs, Matrix <float> p_weights, Range <float> p_mutation_multiplier)
{
if (!MatrixCalc.isSize(p_weights, p_inputs.Length, p_outputs.Length))
{
Debug.LogError("DecisionNetDNA requires Matrix input size inputs by outputs");
}
m_id = p_id;
m_inputs = ArrayCalc.shallowClone(p_inputs);
m_outputs = ArrayCalc.shallowClone(p_outputs);
m_weights = MatrixCalc.shallowClone(MatrixCalc.columnNormalize(p_weights));
m_mutation_multiplier = p_mutation_multiplier;
}
