//Forward Propagate this Neuron
public void ForwardPropag(vNeuron[,] nn)
{
if (this.layer != 0)
{
this.GetInputs(nn);
}
this.output = Enumerable.Repeat(0d, this.inputs[0].Count).ToList();
this.postActOutput = Enumerable.Repeat(0d, this.inputs[0].Count).ToList();
this.handedDownDelta = main.createNewMatrix(inputs[0].Count, inputs[0].Count);
for (int i = 0; i < this.inputs.Count; i++)
{
List <double> curInput = this.inputs[i];
List <List <double> > result = MyMath.matMulti(this.weights[i], MyMath.makeVertiColMat(curInput));
this.output = MyMath.transposeMat(MyMath.matAdd(MyMath.makeVertiColMat(this.output), result))[0];
}
if (this.actFunc == actFuncType.logistic)
{
for (int j = 0; j < this.output.Count; j++)
{
this.postActOutput[j] = MyMath.logisticFunc(this.output[j], beta[j]);
}
}
else if (this.actFunc == actFuncType.identity)
{
for (int j = 0; j < this.output.Count; j++)
{
this.postActOutput[j] = MyMath.identityFunc(this.output[j], beta[j]);
}
}
}
//Back Propagate for Hidden Neuron
public void BackPropag(vNeuron[,] net, int mPos, double learnRate, double bLearnRate)
{
for (int i = 0; i < this.inputNeurons.Count; i++)
{
List <List <double> > error = MyMath.matMulti(MyMath.transposeMat(this.weights[i]), MyMath.makeVertiColMat(this.handedDownDelta[0]));
List <double> fPrime = new List <double>();
if (this.actFunc == actFuncType.logistic)
{
for (int j = 0; j < this.output.Count; j++)
{
fPrime.Add(MyMath.logisticPrimeFunc(this.output[j]));
}
}
else if (this.actFunc == actFuncType.identity)
{
for (int j = 0; j < this.output.Count; j++)
{
fPrime.Add(1d);
}
}
List <List <double> > result = MyMath.transposeMat(MyMath.pointwiseMatMulti(error, MyMath.makeVertiColMat(fPrime)));
this.delta = result[0];
this.beta = MyMath.matSub(MyMath.makeHorizonColMat(this.beta), MyMath.scalarProd(bLearnRate, MyMath.makeHorizonColMat(this.delta)))[0];
int m = inputNeurons[i][0];
int n = inputNeurons[i][1];
if (net[m, n].handedDownDelta.Count > 0)
{
net[m, n].handedDownDelta[0] /*.Add(this.delta);*/ = MyMath.colAdd(net[m, n].handedDownDelta[0], this.delta);
}
else
{
net[m, n].handedDownDelta.Add(Enumerable.Repeat(0d, delta.Count).ToList());
net[m, n].handedDownDelta[0] /*.Add(this.delta);*/ = MyMath.colAdd(net[m, n].handedDownDelta[0], this.delta);
}
List <List <double> > matrix = this.weights[i];
this.newWeights.Add(MyMath.matSub(matrix, MyMath.scalarProd(learnRate, MyMath.matMulti(MyMath.makeVertiColMat(this.delta), MyMath.makeHorizonColMat(this.inputs[i])))));
}
}
