public Neuron(Neuron other) { innovNb = other.innovNb; neurType = other.neurType; Val = other.Val; IsCalculated = other.IsCalculated; }
protected IList <Neuron[]> CreateLayers( int startingInnovNb, IList <int> layersNeuronCount, ENeurType neurType, out List <Neuron> allNeurons) { List <Neuron[]> layers = new List <Neuron[]>(); allNeurons = new List <Neuron>(); if (layersNeuronCount == null) { return(layers); } foreach (var layerCount in layersNeuronCount) { var neurons = NewNeurons( startingInnovNb, layerCount, neurType); allNeurons.AddRange(neurons); startingInnovNb = neurons.Last().innovNb + 1; layers.Add(neurons); } return(layers); }
public static IList <Neuron> GetNeurons( INeuralGenome genome, ENeurType neurType) { return(genome.NeuronLst .Where(x => x.neurType == neurType) .ToArray()); }
public Neuron( int innovNb_, ENeurType neurType_, double val_ = 0d) { innovNb = innovNb_; neurType = neurType_; Val = val_; IsCalculated = false; }
protected Neuron[] NewNeurons( int startingInnovNb, int n, ENeurType neurType) { return(Enumerable.Range(0, n) .Select(x => new Neuron(x + startingInnovNb, neurType)) .ToArray()); }
protected Neuron[] GetNeuronsOfType(ENeurType neurType) { return(Network.Where(kv => kv.Key.neurType == neurType) .Select(kv => kv.Key) .ToArray()); }