/// <inheritdoc/>
public override sealed void Iteration()
{
var errorCalculation = new ErrorCalculation();
foreach (IMLDataPair pair in _training)
{
// calculate the error
IMLData output = _network.Compute(pair.Input);
for (int currentAdaline = 0; currentAdaline < output.Count; currentAdaline++)
{
double diff = pair.Ideal[currentAdaline]
- output[currentAdaline];
// weights
for (int i = 0; i <= _network.InputCount; i++)
{
double input;
if (i == _network.InputCount)
{
input = 1.0d;
}
else
{
input = pair.Input[i];
}
_network.AddWeight(0, i, currentAdaline,
_learningRate * diff * input);
}
}
errorCalculation.UpdateError(output.Data, pair.Ideal.Data, pair.Significance);
}
// set the global error
Error = errorCalculation.Calculate();
}