private void InitNN_Load(object sender, EventArgs e)
{
if (Manager == null)
{
Manager = new Layers_Manager();
}
Manager.G = PanelProjection.CreateGraphics();
Manager.Height = PanelProjection.Size.Height;
Manager.Width = PanelProjection.Size.Width;
InputSlotExsistence = false;
DrawingThread = new Thread(new ThreadStart(Manager.Draw));
}
private void BtnCreateNetwork_Click(object sender, EventArgs e)
{
if (NUDLayerNumber.Value == 1)
{
Manager = new Layers_Manager();
Manager.InputSlotSize = (int)NUDImageWidth.Value * (int)NUDImageHeight.Value;
Manager.MaxError = 1;
Layer MainLayer = new Layer(0);
MainLayer.LayerType = Neuron.NeuronType.Output;
for (int i = 0; i < (int)NUDOutputNumber.Value; i++)
{
Neuron N = new Neuron();
N.ParentLayer_Ref = MainLayer;
N.Initialize(Neuron.NeuronType.Output);
N.ID = i;
N.InputCount = Manager.InputSlotSize;
N.LearningRate = 0.2f;
N.ImageTag = imageList1.Images[i];
string[] Data = BMPFiles[i].Split('\\');
N.Tag = Data[Data.Length - 1].Split('.')[0];
N.Bias = 0.5f;
N.Weights.Add(N.Bias);
for (int j = 0; j < N.InputCount; j++)
{
N.Weights.Add(0);
N.OldWeights.Add(0);
}
MainLayer.Neurons.Add(N);
MainLayer.Count++;
}
MainLayer.InitializeLayer();
Manager.Layers.Add(MainLayer);
Layers_Manager Temp = MainInterface_Ref.MF.Manager;
MainInterface_Ref.MF.Manager = Manager;
MainInterface_Ref.SaveNetwork("Image_Processing.net");
MainInterface_Ref.MF.Manager = Temp;
}
}
private void button4_Click(object sender, EventArgs e)
{
if (DrawingThread.IsAlive)
{
DrawingThread.Abort();
}
Manager = new Layers_Manager();
if (Debugger_Ref != null)
{
Debugger_Ref.LBTrace.Items.Clear();
Manager.DynamicDebugger = Debugger_Ref;
}
Manager.G = PanelProjection.CreateGraphics();
Manager.Height = PanelProjection.Size.Height;
Manager.Width = PanelProjection.Size.Width;
InputSlotExsistence = false;
DrawingThread = new Thread(new ThreadStart(Manager.Draw));
GBLayerOptions.Enabled = true;
NUDInputSlot.Enabled = true;
BtnInputLayer.Enabled = true;
DrawingThread.Start();//Draw Network
}
