public static void SetNeuralNetwork(Organism organism)
{
organism.neuralNetwork = new NeuralNetwork();
List <Neuron> outputNeurons = new List <Neuron>();
List <Neuron> inputNeurons = new List <Neuron>();
organism.bias = new Neuron(Organism.GetInputOrganismNeuronsNumbers()[0]);
organism.bias.Value = 1;
organism.damageNeuron = new Neuron(Organism.GetInputOrganismNeuronsNumbers()[1]);
organism.energyNeuron = new Neuron(Organism.GetInputOrganismNeuronsNumbers()[2]);
organism.mitosisNeuron = new Neuron(Organism.GetOutputOrganismNeuronsNumbers()[0]);
organism.sexualReproductionNeuron = new Neuron(Organism.GetOutputOrganismNeuronsNumbers()[1]);
inputNeurons.Add(organism.bias);
inputNeurons.Add(organism.damageNeuron);
inputNeurons.Add(organism.energyNeuron);
outputNeurons.Add(organism.mitosisNeuron);
outputNeurons.Add(organism.sexualReproductionNeuron);
foreach (var pair in organism.orderOfGrowth)
{
CellAttributes cell = pair.Value;
cell.inputNeurons = Organism.CreateNeuronsFromNumbers(cell.type.GetComponent <Cell>().GetInputNeuronsNumbers(cell.number));
cell.outputNeurons = Organism.CreateNeuronsFromNumbers(cell.type.GetComponent <Cell>().GetOutputNeuronsNumbers(cell.number));
inputNeurons.AddRange(cell.inputNeurons);
outputNeurons.AddRange(cell.outputNeurons);
}
organism.neuralNetwork.BuildFromChromosome(organism.chromosome.neuralChromosome, inputNeurons.ToArray(), outputNeurons.ToArray());
}
private static HashSet <int> OutputNeuronsNumbers(Chromosome chromosome)
{
HashSet <int> numbers = new HashSet <int>();
foreach (Gene gene in chromosome.Genes)
{
numbers.UnionWith(gene.Type.GetComponent <Cell>().GetOutputNeuronsNumbers(gene.Number));
}
numbers.UnionWith(Organism.GetOutputOrganismNeuronsNumbers());
return(numbers);
}