static void Main(string[] args)
{
string[] lines = { "First line", "Second line", "Third line" };
System.IO.File.WriteAllLines(@"C:\Users\anxel\Downloads\NeuralNetwork\NeuralNetwork\WriteLines.txt", lines);
// Training Data
XmlDocument doc = new XmlDocument();
doc.Load(@"C:\Users\anxel\Downloads\NeuralNetwork\NeuralNetwork\simpleData.xml");
DataSet ds = new DataSet();
ds.Load((XmlElement)doc.DocumentElement.ChildNodes[0]);
// Network to train
int[] layerSizes = new int[3] {
25, 35, 4
};
TransferFunction[] tFuncs = new TransferFunction[3] {
TransferFunction.None,
TransferFunction.Sigmoid,
TransferFunction.Linear
};
BackPropagationNetwork bpn = new BackPropagationNetwork(layerSizes, tFuncs);
// Network trainer!
NetworkTrainer nt = new NetworkTrainer(bpn, ds);
nt.maxError = 0.001; nt.maxIterations = 100000;
nt.nudge_window = 500;
// Train
Console.WriteLine("Training...");
nt.TrainDataSet();
Console.WriteLine("Done!");
// Save the network
nt.network.Save(@"C:\Users\anxel\Downloads\NeuralNetwork\NeuralNetwork\simpleData.xml");
// Save the error history
double[] error = nt.GetErrorHistory();
string[] filedata = new string[error.Length];
for (int i = 0; i < error.Length; i++)
{
filedata[i] = i.ToString() + " " + error[i].ToString();
}
File.WriteAllLines(@"C:\Users\anxel\Downloads\NeuralNetwork\NeuralNetwork\simple_errors.txt", filedata);
// End of program
Console.WriteLine("\n\nPress Enter...");
Console.ReadLine();
}
public async Task TrainNetworkAsync()
{
int[] layerSize = CreateLayersSize();
TransferFunction[] tfunc = AddTransferFunctionToLayers();
BackPropagationNetwork bpn = null;
NetworkTrainer nt;
if (bpn == null)
{
bpn = new BackPropagationNetwork(layerSize, tfunc);
}
await FixInputs();
nt = new NetworkTrainer(bpn, _dataSet);
Task.Run(() =>
{
nt.MaxError = MaxError;
nt.MaxIterations = MaxIterations;
nt.NudgeWindow = NudgeWindow;
nt.TrainDataSet();
nt.Network.Save(@"tezine.xml");
double[] error = nt.GetErrorHistory();
string[] filedata = new string[error.Length];
for (int i = 0; i < error.Length; i++)
{
filedata[i] = i.ToString() + " " + error[i].ToString();
}
File.WriteAllLines(@"greske.txt", filedata);
NetworkTrained?.Invoke(this, "Završeno treniranje.");
});
dynamic settings = SetSettingsForProgressReportPopup();
TrainingNetworkReport.Status = "Treniranje mreže...";
TrainingNetworkReport.Progress = 0;
TrainingNetworkReport.MaxIterations = MaxIterations;
TrainingNetworkReport.Error = 0;
WindowManager window = new WindowManager();
window.ShowDialog(new TrainingNetworkProgresBarViewModel(ref _trainingNetworkReport, settings, this, nt));
}