//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]))))); } }