/// <summary>
/// Вычисление значения функции ошибки для выбранной модели искусственной сети.
/// </summary>
private static double CalculateNetworkErrorValue(INeuralNetwork neuralNetwork, IEnumerable <Tuple <IList <double>, IList <double> > > validationSet)
{
var networkErrorValue = 0.0;
Parallel.ForEach(validationSet, (Tuple <IList <double>, IList <double> > validationSample) =>
{
var inputVector = validationSample.Item1;
var networkOutput = neuralNetwork.Calculate(inputVector);
var desiredOutputVector = validationSample.Item2;
for (var i = 0; i < desiredOutputVector.Count(); i++)
{
networkErrorValue += Math.Abs(desiredOutputVector[i] - networkOutput[i]);
}
});
return(networkErrorValue);
}