public double CalculateError(Dataset.Dataset dataset, double[] netParameters)
{
var error = 0.0;
foreach (var sample in dataset)
{
var classification = CalculateOutput(sample.Input, netParameters);
for (var i = 0; i < sample.Classification.Length; i++)
{
error += Math.Pow(sample.Classification[i] - classification[i], 2);
}
}
return(error / dataset.Count());
}
public FitnessFunction(ANN ann, Dataset.Dataset dataset)
{
Ann = ann;
Dataset = dataset;
}