public double[] GetSourceWeightValues()
{
double[] RetVal = new double[this.SourceSynapses.Count + 1];
//first add the bias weight
int RetValIndex = 0;
RetVal[0] = this.BiasWeight;
RetValIndex++;
//update SourceWeightTotal
this.CalculateSourceWeightTotal();
//iterate thru and add source synapse weights
IEnumerator SynapseEnum = this.SourceSynapses.GetEnumerator();
while (SynapseEnum.MoveNext())
{
if (SynapseEnum.Current is Synapse)
{
Synapse CurrentSynapse = SynapseEnum.Current as Synapse;
//RetVal[RetValIndex] = CurrentSynapse.Weight;
RetVal[RetValIndex] = CurrentSynapse.GetSignificanceDiviation();
RetValIndex++;
}
else
{
throw new Exception("Only synapses should be int he sourceSynapses array");
}
}
return(RetVal);
}
protected bool DropSourceSynapse()
{
if (this.OwnedDNA.UseMinimumWeight == true)
{
IEnumerator SynapseEnum = this.SourceSynapses.GetEnumerator();
while (SynapseEnum.MoveNext())
{
if (SynapseEnum.Current is Synapse)
{
Synapse CurrentSynapse = SynapseEnum.Current as Synapse;
if (CurrentSynapse.Weight < this.OwnedDNA.MinimumWeight)
{
this.DisconnectSourceSynapse(CurrentSynapse);
return(true);
}
}
else
{
throw new Exception("SourceSynapses should only contain synapses");
}
}
return(false);
}
else if ((this.OwnedDNA.UseCountDrop == true) && (this.SourceSynapses.Count > this.OwnedDNA.MaximumIncomming))
{
//0 most common, 1 least likely
double PercentageOfTop = 1 - Math.Tanh(this.OwnedDNA.RandomGenerator.NextDouble() * this.OwnedDNA.IncommingDropFactor);
double IdealDropWeight = PercentageOfTop * this.CalculateHighestWeight();
Synapse SynapseToDrop = this.FindClosestSynapseWithWeight(IdealDropWeight);
this.DisconnectSourceSynapse(SynapseToDrop);
return(false);
}
else if (this.OwnedDNA.UseSignificanceDrop == true)
{
this.CalculateSourceWeightTotal();
//iterate thru all the source synapses
for (int SynapseLcv = 0; SynapseLcv < this.SourceSynapses.Count; SynapseLcv++)
{
if (this.SourceSynapses[SynapseLcv] is Synapse)
{
Synapse CurrentSynapse = this.SourceSynapses[SynapseLcv] as Synapse;
if (CurrentSynapse.GetSignificanceDiviation() <= this.OwnedDNA.DropBelowSignificanceDiviation)
{
this.DisconnectSourceSynapse(CurrentSynapse);
SynapseLcv--;
}
}
else
{
throw new Exception("SourceSynapses can only contain synapses");
}
}
return(false);
}
else if (this.OwnedDNA.DropBelowWeight == true)
{
//iterate thru all the source synapses
for (int SynapseLcv = 0; SynapseLcv < this.SourceSynapses.Count; SynapseLcv++)
{
if (this.SourceSynapses[SynapseLcv] is Synapse)
{
Synapse CurrentSynapse = this.SourceSynapses[SynapseLcv] as Synapse;
if (CurrentSynapse.Weight <= this.OwnedDNA.DropBelow)
{
this.DisconnectSourceSynapse(CurrentSynapse);
SynapseLcv--;
}
}
else
{
throw new Exception("SourceSynapses can only contain synapses");
}
}
return(false);
}
else
{
throw new Exception("One of the structure learning methods must be used");
}
}