public double Evaluate(ref Dictionary <int, Neuron> neurons, ref Dictionary <int, Connection> connections)
{
if (!biasAllowed)
{
bias = 0;
}
if (tFuncType == TransferFuncType.MAXPOOL)
{
int cFinalIdx = -1;
double finalOut = int.MinValue;
foreach (int cIdx in incomingConnection)
{
connections[cIdx].weight = 0;
foreach (int key in connections[cIdx].srcDest.Keys)
{
int srcIdx = key;
if (neurons[srcIdx].output > finalOut)
{
finalOut = neurons[srcIdx].output;
cFinalIdx = cIdx;
}
}
}
connections[cFinalIdx].weight = 1;
output = finalOut;
return(output);
}
if (tFuncType != TransferFuncType.NONE)
{
input += bias;
}
output = TransferFunction.Evaluate(tFuncType, input);
return(output);
}
public double EvaluateDerivative()
{
if (tFuncType == TransferFuncType.MAXPOOL)
{
return(1);
}
if (tFuncType == TransferFuncType.SIGMOID || tFuncType == TransferFuncType.SOFTMAX)
{
return(output * (1 - output));
}
return(TransferFunction.EvaluateDerivate(tFuncType, input));
}