public void ConnectRandomly(RMP_NeuronGene gene, bool isInputNeuron)
{
int connectionCount;
if (isInputNeuron)
{
connectionCount = HiddenNeuronGenes.Count;
}
else
{
connectionCount = HiddenNeuronGenes.Count + OutputNeuronGenes.Count;
}
gene.Connections.Clear();
for (int i = 0; i < connectionCount; i++)
{
if (ConnectionChance < Pseudo.Random.NextDouble())
{
continue;
}
gene.Connections.Add(GetRandomConnection(gene, isInputNeuron));
}
}
public RMP_NeuronGene GetRandomOutputNeuronGene()
{
var gene = new RMP_NeuronGene(GlobalOutputSigmoidFunction);
gene.Bias.Value = Math.Pow(Pseudo.Random.NextDouble(gene.Bias.Min, gene.Bias.Max), 2);
gene.SigmoidFunction.Randomize();
return(gene);
}
public void ImprintGene(RMP_NeuronGene gene)
{
Name = gene.Name;
GeneID = gene.ID;
Bias = gene.Bias.Value;
SigmoidFunction = (SigmoidFunction)gene.SigmoidFunction.Clone();
}
public override Gene Clone()
{
var gene = new RMP_NeuronGene(GeneHeritage, (SigmoidFunction)SigmoidFunction.Clone());
gene.IsMutable = IsMutable;
gene.Bias = Bias;
foreach (var connection in Connections)
{
gene.Connections.Add((RMP_ConnectionGene)connection.Clone());
}
return(gene);
}
public RMP_ConnectionGene GetRandomConnection(RMP_NeuronGene host, bool hostIsInputNeuron)
{
int connectionCount;
if (hostIsInputNeuron)
{
connectionCount = HiddenNeuronGenes.Count;
}
else
{
connectionCount = HiddenNeuronGenes.Count + OutputNeuronGenes.Count;
}
int targetIndex;
bool unique;
do
{
targetIndex = Pseudo.Random.Next(connectionCount);
unique = true;
foreach (RMP_ConnectionGene connectionGene in host.Connections)
{
if (connectionGene.Target == targetIndex)
{
unique = false;
}
}
} while (!unique);
if (targetIndex < HiddenNeuronGenes.Count)
{
return(GetRandomConnection(targetIndex, false));
}
else
{
return(GetRandomConnection(targetIndex - HiddenNeuronGenes.Count, true));
}
}