//
public BackPropNet(uint inputSize, uint outSize, params uint[] hiddenSizes)
{
try
{
iLayer = new InputLayer(inputSize);
uint numberOfHiddenLayers = (uint)hiddenSizes.Length;
hLayers = new HiddenLayer[numberOfHiddenLayers];
//
hLayers[0] = new HiddenLayer(hiddenSizes[0], iLayer);
//
if(numberOfHiddenLayers > 1)
{
for(int i=1; i<numberOfHiddenLayers; i++)
hLayers[i] = new HiddenLayer(hiddenSizes[i], hLayers[i-1]);
}
//
oLayer = new OutputLayer(outSize, hLayers[numberOfHiddenLayers-1]);
depth = numberOfHiddenLayers + 2;
}
catch(System.Exception ex)
{
Console.WriteLine(ex.Message);
iLayer = null;
hLayers = null;
oLayer = null;
}
}
//
public void BackPropagateError(HiddenLayer nextLayer)
{
for(uint i=0; i<size; i++)
{
double sum = 0.0;
double outp = output[i];
//
for(uint j=0; j<nextLayer.GetSize(); j++)
{
sum += nextLayer.layerNeurons[j].GetWeight(i)*nextLayer.layerNeurons[j].GetDelta();
}
//
this.layerNeurons[i].SetDelta(pDeriv(outp)*sum);
}
//
if(this.previousLayer is HiddenLayer)
((HiddenLayer)previousLayer).BackPropagateError(this);
}
