public void RunDemo()
{
Console.WriteLine("### BUILDING BLOCK DEMO ###");
//Initialize the pattern matching building block
//for a 2x2 grid and 2 output neurons.
Grid2DControler gpm = new Grid2DControler(2, 2, 2);
gpm.BuildNetwork(true);
//Add 4 patterns to the pattern manager.
//note that the input array is in row by row order,
//and the output numers the (single!) output neuron to train for.
gpm.Patterns.Add("first", 0, new bool[] { true, false, true, false });
gpm.Patterns.Add("second", 1, new bool[] { true, true, false, false });
gpm.Patterns.Add("third", 1, new bool[] { false, true, false, false });
gpm.Patterns.Add("fourth", 0, new bool[] { false, true, true, false });
//Some configuration ...
gpm.TrainingConfiguration.AutoTrainingEpochs.Value = 500;
//Calculate all patterns. The CalculateCurrentNetwork method
//returns the output neuron index that matches best.
//First select a pattern, then calculate it:
Console.WriteLine("# Initial Status");
for (int i = 0; i < gpm.PatternCount; i++)
{
gpm.SelectPattern(i);
Console.Write(gpm.CalculateCurrentNetwork() + ": ");
App.PrintArray(gpm.NeuralNetwork.CollectOutput());
}
Console.WriteLine("Successful Patterns: " + gpm.CountSuccessfulPatterns());
//Train the third pattern one time:
Console.WriteLine("# Third Pattern Training");
gpm.SelectPattern(2);
gpm.TrainCurrentNetwork();
for (int i = 0; i < gpm.PatternCount; i++)
{
gpm.SelectPattern(i);
Console.Write(gpm.CalculateCurrentNetwork() + ": ");
App.PrintArray(gpm.NeuralNetwork.CollectOutput());
}
Console.WriteLine("Successful Patterns: " + gpm.CountSuccessfulPatterns());
//Autotrain all Patterns:
Console.WriteLine("# Auto Training:");
Console.WriteLine(gpm.AutoTrainNetwork() ? "successful" : "failed");
for (int i = 0; i < gpm.PatternCount; i++)
{
gpm.SelectPattern(i);
Console.Write(gpm.CalculateCurrentNetwork() + ": ");
App.PrintArray(gpm.NeuralNetwork.CollectOutput());
}
Console.WriteLine("Successful Patterns: " + gpm.CountSuccessfulPatterns());
Console.WriteLine("=== COMPLETE ===");
Console.WriteLine();
}
public bool AutoTrain()
{
//btnAutoTrain.Text = "Abort";
ProgressBegin();
bool rsp = pm.AutoTrainNetwork(new Progress(ProgressStatus));
pm.SelectPattern(0);
//btnAutoTrain.Text = "Auto Train";
ProgressEnd();
return(rsp);
}