public int Init(int numInputsPerNeuron, int numNeurons, NeuronLayer parent, double mutationRate)
{
for (int iNeurom = 0; iNeurom < numNeurons; iNeurom++)
{
AddNeuron().Init(numInputsPerNeuron, parent.GetNeuron(iNeurom), mutationRate);
}
return numNeurons;
}
public int Init(int numInputsPerNeuron, int numNeurons, NeuronLayer parent, double mutationRate)
{
for (int iNeurom = 0; iNeurom < numNeurons; iNeurom++)
{
AddNeuron().Init(numInputsPerNeuron, parent.GetNeuron(iNeurom), mutationRate);
}
return(numNeurons);
}
public int Init(int numInputsPerNeuron, NeuronLayer parent, double mutationRate)
{
if (parent != null)
{
int numNeurons = parent.mNeurons.Count + NMutation();
numNeurons = Util.Clamp(numNeurons, mSettings.mNumNeuronsPerLayerMin, mSettings.mNumNeuronsPerLayerMax);
return Init(numInputsPerNeuron, numNeurons, parent, mutationRate);
}
return Init(numInputsPerNeuron);
}
public int Init(int numInputsPerNeuron, NeuronLayer parent, double mutationRate)
{
if (parent != null)
{
int numNeurons = parent.mNeurons.Count + NMutation();
numNeurons = Util.Clamp(numNeurons, mSettings.mNumNeuronsPerLayerMin, mSettings.mNumNeuronsPerLayerMax);
return(Init(numInputsPerNeuron, numNeurons, parent, mutationRate));
}
return(Init(numInputsPerNeuron));
}
public int Init(int numInputsPerNeuron, int numNeurons, NeuronLayer mum, NeuronLayer dad, double mutationRate)
{
int iSplit = Util.Random(numNeurons);
for (int iNeurom = 0; iNeurom < numNeurons; iNeurom++)
{
if (iNeurom < iSplit)
{
AddNeuron().Init(numInputsPerNeuron, mum.GetNeuron(iNeurom), mutationRate);
}
else
{
AddNeuron().Init(numInputsPerNeuron, dad.GetNeuron(iNeurom), mutationRate);
}
}
return(numNeurons);
}
public int Init(int numInputsPerNeuron, NeuronLayer mum, NeuronLayer dad, double mutationRate)
{
if (mum == null && dad != null)
{
return(Init(numInputsPerNeuron, dad, mutationRate));
}
if (mum != null && dad == null)
{
return(Init(numInputsPerNeuron, mum, mutationRate));
}
if (mum == null && dad == null)
{
return(Init(numInputsPerNeuron));
}
int numNeurons = Util.RandomRange(mum.mNeurons.Count, dad.mNeurons.Count) + NMutation();
numNeurons = Util.Clamp(numNeurons, mSettings.mNumNeuronsPerLayerMin, mSettings.mNumNeuronsPerLayerMax);
return(Init(numInputsPerNeuron, numNeurons, mum, dad, mutationRate));
}
public NeuronNet(ObjectPool pool, NeuronNetSettings settings)
: base(pool, settings)
{
mPool = new ObjectPool(settings.mLayerSettings.mFactory, settings.mNumLayersMax);
mOutputLayer = new NeuronLayer(mPool, settings.mLayerSettings);
}
public int Init(int numInputsPerNeuron, NeuronLayer mum, NeuronLayer dad, double mutationRate)
{
if (mum == null && dad != null)
return Init(numInputsPerNeuron, dad, mutationRate);
if (mum != null && dad == null)
return Init(numInputsPerNeuron, mum, mutationRate);
if (mum == null && dad == null)
return Init(numInputsPerNeuron);
int numNeurons = Util.RandomRange(mum.mNeurons.Count, dad.mNeurons.Count) + NMutation();
numNeurons = Util.Clamp(numNeurons, mSettings.mNumNeuronsPerLayerMin, mSettings.mNumNeuronsPerLayerMax);
return Init(numInputsPerNeuron, numNeurons, mum, dad, mutationRate);
}
public int Init(int numInputsPerNeuron, int numNeurons, NeuronLayer mum, NeuronLayer dad, double mutationRate)
{
int iSplit = Util.Random(numNeurons);
for (int iNeurom = 0; iNeurom < numNeurons; iNeurom++)
{
if (iNeurom < iSplit)
AddNeuron().Init(numInputsPerNeuron, mum.GetNeuron(iNeurom), mutationRate);
else
AddNeuron().Init(numInputsPerNeuron, dad.GetNeuron(iNeurom), mutationRate);
}
return numNeurons;
}
public NeuronNet(ObjectPool pool, NeuronNetSettings settings)
: base(pool, settings)
{
mPool = new ObjectPool(settings.mLayerSettings.mFactory, settings.mNumLayersMax);
mOutputLayer = new NeuronLayer(mPool, settings.mLayerSettings);
}
