public static void SaveNetwork(string path, ref NeuronalNetwork neuronalNetwork)
{
FileStream fs = new FileStream(path, FileMode.Create);
BinaryFormatter bf = new BinaryFormatter();
bf.Serialize(fs, neuronalNetwork);
fs.Close();
}
public TrainerAnn(ref NeuronalNetwork neuronalNetwork, ReadFile rf, bool serialize)
{
_neuronalNetwork = neuronalNetwork;
if (serialize == false)
{
_neuronalNetwork.InitializeNetwork();
}
//initializa training data
_trainSet = rf.GetTrainingData();
_testData = rf.GetTestData();
File.WriteAllText("pua.txt", string.Empty);
}
private void button3_Click(object sender, EventArgs e)
{
//train network
listBox1.Items.Add("Training begin...\n");
//the network was not loaded, is new, so we need to train
_neuronalNetwork = new NeuronalNetwork(540, 10, 4);
_trainAnn = new TrainerAnn(ref _neuronalNetwork, _readFile, false);
_trainAnn.DoTrain(5000);
listBox1.Items.Add("Training complete...\n");
//_trainAnn.TestRun(3000);
//listBox1.Text += "Testing data complete...\n";
}
private void button2_Click(object sender, EventArgs e)
{
//load neuronal network from file
using (var fileDialog = new OpenFileDialog())
{
fileDialog.Title = "Please select a file";
fileDialog.Multiselect = false;
fileDialog.Filter = "NET|*.net";
DialogResult dr = fileDialog.ShowDialog();
if (dr == DialogResult.OK)
{
string fileName = Path.GetFileName(fileDialog.FileName);
_neuronalNetwork = Serializer.LoadNetwork(fileName);
_trainAnn = new TrainerAnn(ref _neuronalNetwork, _readFile, true);
listBox1.Items.Add("Load Network complete...\n");
button5.Enabled = true; // dam enable la butonul de save
}
}
}
