/// <summary>
/// Crea la red neuronal.
/// </summary>
public override void CreateANN()
{
base.CreateANN();
// Crea un diccionario vacio
this.learnedKanjis = new Dictionary<string, Kanji>();
// Crea la red
hopfieldNN = new NeuralNetwork(InputSize);
}
private void CreateNNBut_Click(object sender, EventArgs e)
{
NN = new NeuralNetwork(imageDim*imageDim);
panelStoredImages.Controls.Clear();
NN.EnergyChanged += new EnergyChangedHandler(NN_EnergyChanged);
Random rnd = new Random();
int r = 0;
imNNState.pixels = new int[imageDim, imageDim];
for (int i = 0; i < imageDim; i++)
for (int j = 0; j < imageDim; j++)
{
r = rnd.Next(2);
if (r == 0) imNNState.pixels[i, j] = Color.Black.ToArgb();
else if (r == 1) imNNState.pixels[i, j] = Color.White.ToArgb();
}
patternSelected = false;
butAddPattern.Enabled = true;
butRunDynamics.Enabled = false;
imNNState.Visible = true;
imNNState.Invalidate();
UpdatePropertiesPB();
}