public BackPropagationTrainer(IFeedForwardNetRepository feedForwardNet, IBackPropagationConstants backPropagationConstants, ISquashFunction squashFunction,
ITrainingSetRepository trainingSet,
IHiddenLayerWeightChangeStrategy hiddenUnitWeightStrategy,
IOutputLayerWeightChangeStrategy outputUnitWeightStrategy)
{
this.feedForwardNet = feedForwardNet;
this.backPropagationConstants = backPropagationConstants;
this.squashFunction = squashFunction;
this.trainingSet = trainingSet;
this.hiddenUnitWeightStrategy = hiddenUnitWeightStrategy;
this.outputUnitWeightStrategy = outputUnitWeightStrategy;
}
/*public void UpdateWeights(ref IFeedForwardNetLayerRepository currentLayer)
* {
* for (int toNo = 0; toNo < currentLayer.GetToUnitCount(); toNo++)
* {
* for (int fromNo = 0; fromNo < currentLayer.GetFromUnitCount(); fromNo++)
* {
* double weightChange = backPropagationConstants.LearningRate * currentLayer.GetToUnitDelta(toNo) +
* currentLayer.GetLayerWeightChange(fromNo, toNo) * backPropagationConstants.Momentum;
* currentLayer.SetLayerWeightChange(fromNo, toNo, weightChange);
* currentLayer.AddLayerWeight(fromNo, toNo, weightChange);
* }
* double biasChange = backPropagationConstants.LearningRate * currentLayer.GetToUnitDelta(toNo) + currentLayer.GetLayerBiasChange(toNo) * backPropagationConstants.Momentum;
* currentLayer.SetLayerBiasChange(toNo, biasChange);
* currentLayer.AddLayerBias(toNo, biasChange);
* }
* }*/
public OutputUnitWeightChangeStrategyExp(IBackPropagationConstants backPropagationConstants) : base(backPropagationConstants)
{
// this.backPropagationConstants = backPropagationConstants;
}
public UpdateWeightsAbs(IBackPropagationConstants backPropagationConstants)
{
this.backPropagationConstants = backPropagationConstants;
}
