public void CalculateDeltas(ref IFeedForwardNetLayerRepository currentLayer, ITrainingSetItemRepository trainingSetItem)
{
double outputDelta;
for (int toNo = 0; toNo < currentLayer.GetToUnitCount(); toNo++)
{
double outputActivation = currentLayer.GetToUnitActivation(toNo);
outputDelta = (trainingSetItem.GetOutputNodeValue(toNo) - outputActivation) * outputActivation * (1 - outputActivation);
currentLayer.SetToUnitDelta(toNo, outputDelta);
}
}
ErrorMeasure ForwardPassError(ITrainingSetItemRepository trainingSetItem)
{
ErrorMeasure errorMeasure;
double sumError = 0.0;
double localError;
Boolean hasLearned = true;
FeedForwardNetLayer outputLayer = feedForwardNet.GetOutputLayer();
for (int outputNo = 0; outputNo < outputLayer.GetToUnitCount(); outputNo++)
{
localError = Math.Abs(trainingSetItem.GetOutputNodeValue(outputNo) - outputLayer.GetToUnitActivation(outputNo));
if (localError > backPropagationConstants.OutputTolerance)
{
hasLearned = false;
}
sumError += localError;
}
errorMeasure = new ErrorMeasure(hasLearned, sumError);
return(errorMeasure);
}