public void ImprintGene(SpNeuronGene gene)
{
Name = gene.Name;
GeneID = gene.ID;
Bias = gene.Threshold.Value;
ExcitationDecayRate = MaxExcitationDecayRate * gene.ExcitationDecayRate.Value;
AbsoluteRefactoryPeriod = (int)Math.Round(gene.AbsoluteRefactoryPeriod.Value * MaxAbsouluteRefactoryPeriod, 0);
RelativeRefactoryPeriod = (int)Math.Round(gene.RelativeRefactoryPeriod.Value * MaxRelativeRefactoryPeriod, 0);
}
public override Gene Clone()
{
var gene = new SpNeuronGene(Name, GeneHeritage);
gene.Threshold = Threshold;
gene.ExcitationDecayRate = ExcitationDecayRate;
gene.AbsoluteRefactoryPeriod = AbsoluteRefactoryPeriod;
gene.RelativeRefactoryPeriod = RelativeRefactoryPeriod;
gene.RefactoryPenalty = RefactoryPenalty;
foreach (var connection in Connections)
{
gene.Connections.Add(connection.Clone());
}
return(gene);
}
public SpNeuronGene GetRandomNeuronGene(string name)
{
var gene = new SpNeuronGene(name);
gene.Threshold.Value =
Pseudo.Random.NextDouble(gene.Threshold.Min, gene.Threshold.Max);
gene.ExcitationDecayRate.Value =
Pseudo.Random.NextDouble(gene.ExcitationDecayRate.Min, gene.ExcitationDecayRate.Max);
gene.AbsoluteRefactoryPeriod.Value =
Pseudo.Random.NextDouble(gene.AbsoluteRefactoryPeriod.Min, gene.AbsoluteRefactoryPeriod.Max);
gene.RelativeRefactoryPeriod.Value =
Pseudo.Random.NextDouble(gene.RelativeRefactoryPeriod.Min, gene.RelativeRefactoryPeriod.Max);
gene.RefactoryPenalty.Value =
Pseudo.Random.NextDouble(gene.RefactoryPenalty.Min, gene.RefactoryPenalty.Max);
return(gene);
}
public void ConnectRandomly(SpNeuronGene gene, bool isInputNeuron)
{
int connectionCount;
if (isInputNeuron)
{
connectionCount = HiddenNeuronGenes.Count;
}
else
{
connectionCount = HiddenNeuronGenes.Count + OutputNeuronGenes.Count;
}
int connectionAmount = Pseudo.Random.Next(connectionCount);
for (int i = 0; i < connectionAmount; i++)
{
int targetIndex;
bool unique;
do
{
targetIndex = Pseudo.Random.Next(connectionCount);
unique = true;
foreach (SpConnectionGene connectionGene in gene.Connections)
{
if (connectionGene.Target == targetIndex)
{
unique = false;
}
}
} while (!unique);
if (targetIndex < HiddenNeuronGenes.Count)
{
gene.Connections.Add(GetRandomConnection(targetIndex, false));
}
else
{
gene.Connections.Add(GetRandomConnection(targetIndex - HiddenNeuronGenes.Count, true));
}
}
}