public IMLDataSet generateTraining()
{
IMLDataSet training = RandomTrainingFactory.Generate(1000, 50000,
INPUT_COUNT, OUTPUT_COUNT, -1, 1);
return(training);
}
public void Perform(int thread)
{
var stopwatch = new Stopwatch();
stopwatch.Start();
var network = new BasicNetwork();
network.AddLayer(new BasicLayer(INPUT_COUNT));
network.AddLayer(new BasicLayer(HIDDEN_COUNT));
network.AddLayer(new BasicLayer(OUTPUT_COUNT));
network.Structure.FinalizeStructure();
network.Reset();
IMLDataSet training = RandomTrainingFactory.Generate(1000, 50000,
INPUT_COUNT, OUTPUT_COUNT, -1, 1);
var rprop = new ResilientPropagation(network, training);
rprop.ThreadCount = thread;
for (int i = 0; i < 5; i++)
{
rprop.Iteration();
}
stopwatch.Stop();
Console.WriteLine("Result with " + thread + " was " + stopwatch.ElapsedMilliseconds + "ms");
}
