/// <summary>
/// Saves the current ANN settings to an OpenCV ANN file which can be loaded
/// later for initialization, training and use later.
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void SaveAnnButton_Click(object sender, RoutedEventArgs e)
{
// Configure save file dialog box
Microsoft.Win32.SaveFileDialog dlg = new Microsoft.Win32.SaveFileDialog();
dlg.FileName = "NeuralNetwork"; // Default file name
dlg.DefaultExt = ".xml"; // Default file extension
dlg.Filter = "XML documents (.xml)|*.xml"; // Filter files by extension
dlg.Title = "Where to save your new Neural Network?";
// Show save file dialog box
Nullable <bool> result = dlg.ShowDialog();
// Process save file dialog box results
if (result == true)
{
// Save document
string filepath = dlg.FileName;
Console.WriteLine("Saving neural network to " + filepath);
Hashtable hashtable = new Hashtable();
hashtable.Add("identity", ANN.ActivationFunction.Identity);
hashtable.Add("sigmoid", ANN.ActivationFunction.Sigmoid);
hashtable.Add("gaussian", ANN.ActivationFunction.Gaussian);
hashtable.Add("Identity", ANN.ActivationFunction.Identity);
hashtable.Add("Sigmoid", ANN.ActivationFunction.Sigmoid);
hashtable.Add("Gaussian", ANN.ActivationFunction.Gaussian);
ANN.ActivationFunction actFunc = ANN.ActivationFunction.Sigmoid;
if (hashtable.ContainsKey(AnnActivationFunction.Text))
{
// TODO: (Ko) Use combobox key and not it's values (important for translation)
Console.WriteLine("Using activation function: " + hashtable[AnnActivationFunction.Text]);
actFunc = (ANN.ActivationFunction)hashtable[AnnActivationFunction.Text];
}
_Klu.CreateAndSaveAnn(_ANN.NumNeuronsPerLayer, actFunc, Convert.ToDouble(AnnAlpha.Text), Convert.ToDouble(AnnBeta.Text), filepath);
}
}
/// <summary>
/// Create a neural network using the given parameters and saves it as a reusable
/// OpenCV XML file to the desired "filepath".
/// </summary>
/// <param name="numNeuronsPerLayer"></param>
/// <param name="activationFunction"></param>
/// <param name="filepath"></param>
/// <returns>true if successful; otherwise false</returns>
public bool CreateAndSaveAnn(int[] numNeuronsPerLayer, ANN.ActivationFunction activationFunction, double alpha, double beta, string filepath)
{
int res = klu_createAndSaveAnn(numNeuronsPerLayer, numNeuronsPerLayer.Count(), (int)activationFunction, alpha, beta, filepath);
return(res == 1);
}
