/// <summary>
/// Reads each of the file in _trainngGamesPath Directory
/// and trains the NeuralNetwork
/// </summary>
public AIPredictor()
{
foreach (string s in Directory.EnumerateFiles(_trainingGamesPath))
{
GameRegister g = new GameRegister();
g.LoadStates(s);
NeuralNetwork.Train(g);
}
Console.WriteLine("AIPredictor succesfully created...");
}
public void Train(GameRegister trainingGame)
{
FeaturesState[] states = trainingGame.States;
for (int i = 0; i < weights.Length; i++)
{
double derivativesSum = 0;
for (int t = 0; t < states.Length - 1; t++)
{
double propagationSum = 0;
for (int j = t; j < states.Length - 1; j++)
{
propagationSum += Math.Pow(propagationRate, j - t) * Variation(states[t], states[t + 1]);
}
derivativesSum += MathUtilities.SigmoidDerivative(Score(states[t])) * states[t].GetNormalizedVector()[i] * propagationSum;
}
weights[i] += learningRate * derivativesSum;
}
}
