// ignore how inaccurate the accuracy results could be if this is ran in parallel :^)
private void TrainNetwork(Layer outputLayer, double[] inputs, List <double> accuracyResults, int threadCount, int currentThread)
{
var rand = new Random();
var output = outputLayer.CloneWithSameWeightValueReferences();
var momentum = Momentum.GenerateMomentum(output, 0.9);
var learningRate = 0.25;
for (var i = 0; i < 10000; i++)
{
if (i % 100 == 0)
{
var currentResults = new double[inputs.Length];
SetResults(inputs, output, currentResults);
accuracyResults.Add(AccuracyStatistics.CalculateKolmogorovStatistic(
currentResults, inputs.Select(Calculation).ToArray()));
}
var trial = (rand.NextDouble() / 4) + ((double)currentThread / (double)threadCount);
output.Backpropagate(new[] { trial }, new double[] { Calculation(trial) }, learningRate, momentum);
ModifyLearningRate(ref learningRate);
}
}
