public NeuralNetworkLayer()
{
ParentLayer = null;
ChildLayer = null;
LinearOutput = false;
UseMomentum = false;
MomentumFactor = 0.9;
}
public void Initialize(int NumNodes, NeuralNetworkLayer parent, NeuralNetworkLayer child)
{
int i, j;
NeuronValues = new double[NumberOfNodes];
DesiredValues = new double[NumberOfNodes];
Errors = new double[NumberOfNodes];
if (parent != null)
{
ParentLayer = parent;
}
if (child != null)
{
ChildLayer = child;
Weights = new double[NumberOfNodes][];
WeightChanges = new double[NumberOfNodes][];
for (i = 0; i < NumberOfNodes; i++)
{
Weights[i] = new double[NumberOfChildNodes];
WeightChanges[i] = new double[NumberOfChildNodes];
}
BiasValues = new double[NumberOfChildNodes];
BiasWeights = new double[NumberOfChildNodes];
}
else
{
Weights = null;
BiasValues = null;
BiasWeights = null;
WeightChanges = null;
}
for (i = 0; i < NumberOfNodes; i++)
{
NeuronValues[i] = 0;
DesiredValues[i] = 0;
Errors[i] = 0;
if (ChildLayer != null)
{
for (j = 0; j < NumberOfChildNodes; j++)
{
Weights[i][j] = 0;
WeightChanges[i][j] = 0;
}
}
}
if (ChildLayer != null)
{
for (j = 0; j < NumberOfChildNodes; j++)
{
BiasValues[j] = 1;
BiasWeights[j] = 0;
}
}
}
public NeuralNetworkLayer(int numberOfNeurons, bool linearOutput = false, bool useMomentum = false, double momentumFactor = 0.9)
{
ParentLayer = null;
ChildLayer = null;
LinearOutput = linearOutput;
UseMomentum = useMomentum;
MomentumFactor = momentumFactor;
NumberOfNodes = numberOfNeurons;
}
