public Neuron(Neuron n)
{
nrnType = n.getNrnType();
rightVal = n.RightVal;
leftVal = n.LeftVal;
currentLayer = n.getCurrentLayer();
IndexInLayer = n.getIndexInLayer();
}
private void evalNrnError(Neuron n, int trainingSet)
{
if (n.getNrnType().Equals(MLPType.output))
{
n.Error = n.RightVal - TrainingSets[trainingSet].Output[n.getIndexInLayer()]; //Index OOR here // Not anymore, mouhaha ! >:D
}
else
{
throw new MLPException("method MLP.evalNrnError - the neuron is not an output nrn");
}
}
