private double runTrainingIteration(ref IdentityNeuron neuron, ref NeuronTrainingPattern[] trainingSet, double trainingStep, int trainingNumber, int inputNumber)
{
double finalError = 0.0;
for (int i = 0; i < trainingNumber; i++)
{
double[] inputVectors = trainingSet[i].neuronInputVectors;
double computedOutputVector = neuron.Compute(inputVectors);
double error = trainingSet[i].neuronOutputVector - computedOutputVector;
for (int j = 0; j < inputNumber; j++)
{
neuron.Weights[j] = neuron.Weights[j] + trainingStep * error * inputVectors[j];
}
finalError += (error * error);
}
finalError /= trainingNumber;
return finalError;
}
