public Form1()
{
InitializeComponent();
_perceptron = new Perceptron(18 * 18, 4, 25);
//originalImage = null;
_originalImages = new Dictionary <string, Bitmap>();
_imageClassDictionary = new Dictionary <string, int>();
ImageInitialization();
//_neuralNetwork = new NeuralNetwork();
//_neuralNetwork.TeachingNeuralNetwork(_originalImages.Values.ToArray());
InitializationPicturesPanel();
for (int i = 0; i < 10; i++)
{
foreach (var image in _originalImages)
{
_perceptron.TrainedNeural(new ImageMapper().ToDouble(image.Value),
_imageClassDictionary[image.Key]);
}
}
}
public Form1()
{
InitializeComponent();
_perceptron = new Perceptron(18*18,4,25);
//originalImage = null;
_originalImages = new Dictionary<string, Bitmap>();
_imageClassDictionary = new Dictionary<string, int>();
ImageInitialization();
//_neuralNetwork = new NeuralNetwork();
//_neuralNetwork.TeachingNeuralNetwork(_originalImages.Values.ToArray());
InitializationPicturesPanel();
for (int i = 0; i < 10; i++)
{
foreach (var image in _originalImages)
{
_perceptron.TrainedNeural(new ImageMapper().ToDouble(image.Value),
_imageClassDictionary[image.Key]);
}
}
}
public static void Main(string[] args)
{
Perceptron perceptron = new Perceptron(4, 4, 2);
}
