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());
}
