public void geneticNeural()
{
FeedforwardNetwork network = createNetwork();
// train the neural network
Console.WriteLine("Determining initial scores");
TicTacToeGenetic train = new TicTacToeGenetic(network, true,
NeuralTicTacToe.POPULATION_SIZE,
NeuralTicTacToe.MUTATION_PERCENT, NeuralTicTacToe.MATE_PERCENT,
this.player2.GetType());
train.UseThreadPool = true;
ThreadPool.SetMaxThreads(NeuralTicTacToe.THREAD_POOL_SIZE, NeuralTicTacToe.THREAD_POOL_SIZE);
int epoch = 1;
DateTime started = DateTime.Now;
int minutes = 0;
do
{
train.Iteration();
TimeSpan span = (DateTime.Now - started);
minutes = span.Minutes;
Console.WriteLine("Epoch #" + epoch + " Error:" + train.getScore()
+ ",minutes left="
+ (NeuralTicTacToe.TRAIN_MINUTES - minutes));
epoch++;
} while (minutes < NeuralTicTacToe.TRAIN_MINUTES);
SerializeObject.Save("tictactoe.net", train.Network);
}
public void geneticNeural()
{
Stopwatch sw = new Stopwatch();
FeedforwardNetwork network = createNetwork();
// train the neural network
Console.WriteLine("Determining initial scores");
TicTacToeGenetic train = new TicTacToeGenetic(network, true,
NeuralTicTacToe.POPULATION_SIZE,
NeuralTicTacToe.MUTATION_PERCENT, NeuralTicTacToe.MATE_PERCENT,
this.player2.GetType());
train.UseThreadPool = true;
sw.Stop();
string duration = String.Format("Training_time: {0}", sw.Elapsed.Minutes);
Console.WriteLine(duration);
ThreadPool.SetMaxThreads(NeuralTicTacToe.THREAD_POOL_SIZE, NeuralTicTacToe.THREAD_POOL_SIZE);
int epoch = 1;
DateTime started = DateTime.Now;
int minutes = 0;
double error = train.getScore();
do
{
sw.Start();
error = train.getScore();
if (error > 0)
{
train.Iteration();
}
sw.Stop();
minutes = sw.Elapsed.Minutes;
string observation = String.Format("Epoch: {0}, Error:{1}, minutes_left : {2}", epoch, error, (NeuralTicTacToe.TRAIN_MINUTES - minutes));
Console.WriteLine(observation);
epoch++;
} while (minutes < NeuralTicTacToe.TRAIN_MINUTES && error > 0.00001d);
SerializeObject.Save("tictactoe.net", train.Network);
}
