public void ProcessError(FeedForwardNeuralNetwork network, Vector error)
{
// TODO calculate total error somewhere
// create Sensitivity Matrices
outputSensitivity.SensitivityMatrixFromErrorMatrix(error);
hiddenSensitivity
.SensitivityMatrixFromSucceedingLayer(outputSensitivity);
// calculate weight Updates
this.CalculateWeightUpdates(outputSensitivity, hiddenLayer
.GetLastActivationValues(), learningRate, momentum);
this.CalculateWeightUpdates(hiddenSensitivity, hiddenLayer
.GetLastInputValues(), learningRate, momentum);
// calculate Bias Updates
this.CalculateBiasUpdates(outputSensitivity, learningRate, momentum);
this.CalculateBiasUpdates(hiddenSensitivity, learningRate, momentum);
// update weightsAndBiases
outputLayer.UpdateWeights();
outputLayer.UpdateBiases();
hiddenLayer.UpdateWeights();
hiddenLayer.UpdateBiases();
}
public void SetNeuralNetwork(IFunctionApproximator fapp)
{
FeedForwardNeuralNetwork ffnn = (FeedForwardNeuralNetwork)fapp;
this.hiddenLayer = ffnn.GetHiddenLayer();
this.outputLayer = ffnn.GetOutputLayer();
this.hiddenSensitivity = new LayerSensitivity(hiddenLayer);
this.outputSensitivity = new LayerSensitivity(outputLayer);
}
public Vector ProcessInput(FeedForwardNeuralNetwork network, Vector input)
{
hiddenLayer.FeedForward(input);
outputLayer.FeedForward(hiddenLayer.GetLastActivationValues());
return(outputLayer.GetLastActivationValues());
}
