////////////////////////////////////////////////////////////////////////////////////////////////////
/// <summary> Train bias. </summary>
///
/// <param name="PLayer"> The layer. </param>
/// <param name="PWhich"> The which. </param>
/// <param name="PPosPhase"> The position phase. </param>
/// <param name="PNegPhase"> The negative phase. </param>
////////////////////////////////////////////////////////////////////////////////////////////////////
private static void TrainBias(RestrictedBoltzmannMachineLayer PLayer, int PWhich, double PPosPhase, double PNegPhase)
{
double biaschange = (learnrate.momentumBiases * PLayer.GetBiasChange(PWhich)) +
(learnrate.biases * (PPosPhase - PNegPhase));
PLayer.SetBiasChange(PWhich, biaschange);
PLayer.SetBias(PWhich, PLayer.GetBias(PWhich) + biaschange);
}
////////////////////////////////////////////////////////////////////////////////////////////////////
/// <summary> Trains. </summary>
///
/// <param name="PLayerVis"> The layer vis. </param>
/// <param name="PLayerHid"> The layer HID. </param>
/// <param name="PData"> The data. </param>
/// <param name="PLearnRate"> The learn rate. </param>
/// <param name="PWeightSet"> Set the weight belongs to. </param>
////////////////////////////////////////////////////////////////////////////////////////////////////
public static void Train(RestrictedBoltzmannMachineLayer PLayerVis,
RestrictedBoltzmannMachineLayer PLayerHid, TrainingData PData,
RestrictedBoltzmannMachineLearningRate PLearnRate,
RestrictedBoltzmannMachineWeightSet PWeightSet)
{
weightset = PWeightSet;
learnrate = PLearnRate;
for (int i = 0; i < PLayerVis.Count; i++)
{
for (int j = 0; j < PLayerHid.Count; j++)
{
TrainWeight(i, j, CalculateTrainAmount(PData.posVisible[i], PData.posHidden[j],
PData.negVisible[i], PData.negHidden[j]));
}
TrainBias(PLayerVis, i, PData.posVisible[i], PData.negVisible[i]);
}
for (int j = 0; j < PLayerHid.Count; j++)
{
TrainBias(PLayerHid, j, PData.posHidden[j], PData.negHidden[j]);
}
}
