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));
}
protected virtual void OnNetworkTrained()
{
NetworkTrained?.Invoke(this, EventArgs.Empty);
}