private void BuildFromGenes()
{
_neurons = new List <NeatNeuron>(Chromosome.NeuronCount);
for (var i = 0; i < Chromosome.NeuronCount; i++)
{
var neuron = new NeatNeuron {
Activation = _neat.Neural.ActivationFunction
};
_neurons.Add(neuron);
}
for (var i = 0; i < Chromosome.GeneCount; i++)
{
var gene = Chromosome.GetGeneAt(i);
if (gene.Enabled)
{
var inConnection = new NeatNeuron.Connection();
inConnection.Weight = gene.Weight;
inConnection.Recursive = gene.Recursive;
inConnection.Neuron = _neurons[gene.From];
_neurons[gene.To].Connections.Add(inConnection);
var outConnection = new NeatNeuron.Connection();
outConnection.Weight = gene.Weight;
outConnection.Recursive = gene.Recursive;
outConnection.Neuron = _neurons[gene.To];
outConnection.OutGoing = true;
_neurons[gene.From].Connections.Add(outConnection);
}
}
for (var i = 0; i < _neat.Structure.BiasNeuronCount; i++)
{
_neurons[i].Value = 1.0;
}
CategorizeNeuronsIntoLayers();
}
private void AddRandomConnection(InnovationCacher currentGeneration)
{
var neuronPair = GetTwoUnconnectedNeurons();
var fromNeuron = neuronPair[0];
var toNeuron = neuronPair[1];
var newConnectionGene = new NeatGene(_neat, _neurons.IndexOf(fromNeuron), _neurons.IndexOf(toNeuron));
if (fromNeuron.Layer > toNeuron.Layer)
{
if (!_neat.Structure.AllowRecurrentConnections)
{
throw new Exception("Illegal recurrent connection");
}
newConnectionGene.Recursive = true;
}
currentGeneration.AssignHistory(newConnectionGene);
var inConnection = new NeatNeuron.Connection();
inConnection.Recursive = newConnectionGene.Recursive;
inConnection.Neuron = fromNeuron;
inConnection.Weight = newConnectionGene.Weight;
toNeuron.Connections.Add(inConnection);
var outConnection = new NeatNeuron.Connection();
outConnection.Recursive = newConnectionGene.Recursive;
outConnection.Neuron = toNeuron;
outConnection.Weight = newConnectionGene.Weight;
outConnection.OutGoing = true;
fromNeuron.Connections.Add(outConnection);
Chromosome.AppendGene(newConnectionGene);
CategorizeNeuronsIntoLayers();
}
