public static NNChromosome[] MixChromosomes(NNChromosome a, NNChromosome b)
{
NNChromosome[] result = new NNChromosome[2];
result[0] = new NNChromosome();
result[1] = new NNChromosome();
for (int i = 0; i < a._chromosome.Count / 2; i++)
{
result[0]._chromosome.Add(a._chromosome[i]);
}
for (int i = a._chromosome.Count / 2; i < a._chromosome.Count; i++)
{
result[0]._chromosome.Add(b._chromosome[i]);
}
for (int i = 0; i < a._chromosome.Count / 2; i++)
{
result[1]._chromosome.Add(b._chromosome[i]);
}
for (int i = a._chromosome.Count / 2; i < a._chromosome.Count; i++)
{
result[1]._chromosome.Add(a._chromosome[i]);
}
return(result);
}
public void SetWeights(NNChromosome newWeights)
{
int aux = 0;
for (int i = 0; i < _layers.Count; i++)
{
for (int f = 0; f < _layers[i]._neuronsCount; f++)
{
for (int g = 0; g < _layers[i]._neurons[f]._weights.Count; g++)
{
_layers[i]._neurons[f]._weights[g] = newWeights._chromosome[aux]._weight;
aux++;
}
}
}
}
public NNChromosome GetWeights()
{
NNChromosome _weights = new NNChromosome();
foreach (NeuronLayer layer in _layers)
{
foreach (Neuron neuron in layer._neurons)
{
foreach (float weight in neuron._weights)
{
_weights._chromosome.Add(new NNChromosome.Gen(weight));
}
}
}
return(_weights);
}
void Awake()
{
_brain = new NeuronalNetwork(inputs, outputs, hiddenLayers, neuronsPerLayer, linearGrade, bias);
_brain.CreateNet();
_genome = _brain.GetWeights();
}
