public static void SetNetworkState(this NeuralNetwork neuralNetwork, NeuroChromosome chromosome)
{
neuralNetwork.Reset();
var layersCount = chromosome.Gens.Select(x => x.Value.Parent.Index).Distinct().Count();
var inputsCount = chromosome.Gens.Count(x => x.Value.Parent.Index == 0);
var outputsCount = chromosome.Gens.Count(x => x.Value.Parent.Index == layersCount - 1);
neuralNetwork.WithInputs(inputsCount);
for (int i = 1; i < layersCount - 1; i++)
{
var neuronsOnCurrentLayer = chromosome.Gens.Count(x => x.Value.Parent.Index == i);
neuralNetwork.WithLayerWithSeparateActivationFunction(neuronsOnCurrentLayer);
}
neuralNetwork.WithOutputs(outputsCount);
foreach (var layer in neuralNetwork.Layers)
{
var gensForCurrentLayer = chromosome.Gens.Where(x => x.Value.Parent.Index == layer.Index).ToList();
layer.Neurons = gensForCurrentLayer.Select(x => x.Value).ToList();
foreach (var gen in gensForCurrentLayer)
{
var neuroGen = gen as NeuroGen;
var linksInNetwork = layer.Links.Where(x => x.Target.Index == neuroGen.Value.Index).ToList();
for (int i = 0; i < linksInNetwork.Count(); i++)
{
linksInNetwork[i].Weigth = neuroGen.Weights[i];
}
}
}
}
public static NeuroChromosome GetNetworkState(this NeuralNetwork neuralNetwork)
{
var networkState = neuralNetwork.Layers.ToList();
var neuroChromosome = new NeuroChromosome();
foreach (var layer in networkState)
{
foreach (var neuron in layer.Neurons)
{
var neuroGen = new NeuroGen
{
Value = neuron,
Weights = layer.Links.Where(x => x.Target.Index == neuron.Index).Select(x => x.Weigth).ToList()
};
neuroChromosome.Gens.Add(neuroGen);
}
}
return(neuroChromosome);
}
private NeuroChromosome generateNeuroChromosomeByTemplate(NeuroChromosome template)
{
var neuroChromosome = new NeuroChromosome();
foreach (var gen in template.Gens)
{
var neuroGen = gen as NeuroGen;
var count = neuroGen.Weights.Count;
neuroGen.Weights = new List <double>();
for (int index = 0; index < count; index++)
{
neuroGen.Weights.Add(Random.NextDouble());
}
var activationFuncIndex = Random.Next(1, ActivationFunctions.AvailableActivatonFunctions.Count() + 1);
var activationFunc = ActivationFunctions.AvailableActivatonFunctions.FirstOrDefault(x => x.Index == activationFuncIndex);
neuroGen.Value.ActivationFunc = activationFunc;
neuroChromosome.Gens.Add(neuroGen);
}
return(neuroChromosome);
}