private static NeuralChromosome InsertNeuron(NeuralChromosome chromosome)
{
List <int> numbers = chromosome.GetNeuronsNumbers();
int newNumber;
if (numbers.Any())
{
newNumber = numbers.Max() + 1;
}
else
{
newNumber = 1;
}
//substitute a existing dendrite
int pos = r.Next(chromosome.dendriteGenes.Length);
DendriteGene dendrite = chromosome.dendriteGenes[pos];
DendriteGene[] dendriteGenes = new DendriteGene[chromosome.dendriteGenes.Length + 1];
for (int i = 0; i < chromosome.dendriteGenes.Length; i++)
{
dendriteGenes[i] = chromosome.dendriteGenes[i];
}
dendriteGenes[chromosome.dendriteGenes.Length] = new DendriteGene(newNumber, dendriteGenes[pos].endNeuron, dendriteGenes[pos].weight);
dendriteGenes[pos] = new DendriteGene(dendrite.startNeuron, newNumber, 1f);
return(new NeuralChromosome(dendriteGenes));
}
private static NeuralChromosome InsertDendrite(NeuralChromosome chromosome, HashSet <int> inputNeuronsNumbers, HashSet <int> outputNeuronsNumbers)
{
HashSet <int> startingNeurons = new HashSet <int>(); //neurons that will be added as input
HashSet <int> endNeurons = new HashSet <int>(); //neurons that require input
List <int> neuronsInChromosome = chromosome.GetNeuronsNumbers();
startingNeurons.UnionWith(inputNeuronsNumbers);
startingNeurons.UnionWith(neuronsInChromosome);
foreach (int n in outputNeuronsNumbers)
{
startingNeurons.Remove(n);
}
endNeurons.UnionWith(outputNeuronsNumbers);
endNeurons.UnionWith(neuronsInChromosome);
foreach (int n in inputNeuronsNumbers)
{
endNeurons.Remove(n);
}
if (!startingNeurons.Any() || !endNeurons.Any())
{
return(chromosome);
}
int startingNeuron = startingNeurons.ToArray()[r.Next(startingNeurons.Count)];
int endingNeuron = endNeurons.ToArray()[r.Next(endNeurons.Count)];
HashSet <DendriteGene.ComparableGene> existingGenes = new HashSet <DendriteGene.ComparableGene>();
foreach (DendriteGene dendrite in chromosome.dendriteGenes)
{
existingGenes.Add(dendrite.GetComparableGene());
}
if (existingGenes.Contains(new DendriteGene.ComparableGene(new DendriteGene(startingNeuron, endingNeuron, 0))))
{
return(chromosome);
}
DendriteGene[] dendriteGenes = new DendriteGene[chromosome.dendriteGenes.Length + 1];
for (int i = 0; i < chromosome.dendriteGenes.Length; i++)
{
dendriteGenes[i] = chromosome.dendriteGenes[i];
}
dendriteGenes[chromosome.dendriteGenes.Length] = new DendriteGene(startingNeuron, endingNeuron, (float)r.NextDouble() * 2 - 1);
return(new NeuralChromosome(dendriteGenes));
}
/// <summary>
/// Creates all hidden neurons and links them to the input and output layer. Fills
/// the dictionaries variables
/// </summary>
/// <param name="chromosome"></param>
/// <param name="inputLayer">Neurons that comes from the organism and can be used as input in the neural network</param>
/// <param name="outputLayer">Neurons that will be used by the organism to make decisions, are the output of the neural network</param>
private void CreateHiddenNeurons(NeuralChromosome chromosome, Neuron[] inputLayer, Neuron[] outputLayer)
{
List <int> hiddenNeuronsNumbers = chromosome.GetNeuronsNumbers();
foreach (Neuron neuron in inputLayer)
{
AddNeuron(inputNeurons, neuron);
hiddenNeuronsNumbers.Remove(neuron.number);
}
foreach (Neuron neuron in outputLayer)
{
AddNeuron(outputNeurons, neuron);
hiddenNeuronsNumbers.Remove(neuron.number);
}
foreach (int hn in hiddenNeuronsNumbers)
{
Neuron neuron = new Neuron(hn);
AddNeuron(hiddenNeurons, neuron);
}
}