private void button1_Click(object sender, EventArgs e)
{
Settings settings = new Settings();
if (mlp == null)
{
mlp = new Network.MLP(settings);
}
else
{
mlp.Epoch = 0; // trong trường hợp đã có mạng sẵn và nạp lại từ file FileSave.data -- mục đích để cho huấn luyện tiếp nếu Sai số của mạng chưa nhỏ hơn sai số cho phép
//mlp.CreateNew_errorEachEpoch_errorOnValidation();
//private List<double> _errorEachEpoch;
//private List<double> _errorOnValidation;
// còn 2 cái này thì tôi thấy nên cho khởi tạo lại (new List) -- do khi đọc từ file thì _errorEachEpoch _errorOnValidation đc nạp lại => xóa đi để lưu lại cái mới khi cho huấn luyện tiếp
}
s = new Stopwatch();
Thread thr = new Thread(new ThreadStart(MLPExecute));
thr.IsBackground = true;
thr.Start();
System.Windows.Forms.Timer tm = new System.Windows.Forms.Timer();
tm.Interval = 10;
tm.Tick += (o, ev) => { UpdateUI(mlp.Error, mlp.Epoch,0/*mlp.ValidationError*/); };
tm.Start();
}
public fTraining()
{
InitializeComponent();
try
{
settings = new Settings();
}
catch (Exception e)
{
string s = e.Message;
}
LoadSettings();
}
public MLP(Settings Configuration)
{
this.settings = Configuration;
layers = new List<Layer>();
try
{
this.EpochToStop = (int)Configuration["EpochToStop"];
this.ErrorToStop = (double)Configuration["ErrorToStop"];
this.Momentum = (double)Configuration["Momentum"];
this.LerningRateDownStep = (double)Configuration["LearningRateDownStep"];
this.LerningRateUpStep = (double)Configuration["LearningRateUpStep"];
this.ErrorThresholdPercent = (int)Configuration["ErrorThresholdPercent"];
this.EpochPreventOverfitting = (int)Configuration["EpochPreventOverfitting"];
ITransferFunction tranferFunc = (ITransferFunction)Assembly.
GetExecutingAssembly().CreateInstance("MLP.Network.TransferFunctions."
+ Configuration["TransferFunction"]);
int NumberOfLayers = (int)Configuration["NumberOfLayers"];
for (int i = 1; i <= NumberOfLayers; i++)
{
int NumberOfNeurons = (int)Configuration["NeuronsOfLayer[" + i + "]"];
Layer l = new Layer(NumberOfNeurons, tranferFunc);
this.layers.Add(l);
}
for (int i = 0; i < NumberOfLayers - 1; i++)
{
layers[i].SetRightAdjacentLayer(layers[i + 1]);
}
Eta = (double)Configuration["LearningRate"];//1.0E-3; //1.0x10^-3
}
catch (Exception e)
{
throw e;
}
_errorEachEpoch = new List<double>();
_errorOnValidation = new List<double>();
}
private void fSettings_Load(object sender, EventArgs e)
{
setting = new Settings();
List<string> fucn = Settings.getAllTranferFunctions();
foreach (string f in fucn)
{
cboxTransferFunction.Items.Add(f);
}
udLayers.Value = (int)setting["NumberOfLayers"];
txtLearningRate.Text = setting["LearningRate"].ToString();
txtEpochToStop.Text = setting["EpochToStop"] + "";
txtMomentum.Text = setting["Momentum"] + "";
txtErrorToStop.Text = setting["ErrorToStop"] + "";
txtLearningRate.Text = setting["LearningRate"] + "";
txtLearningRateDownStep.Text = setting["LearningRateDownStep"] + "";
txtLearningRateUpStep.Text = setting["LearningRateUpStep"] + "";
txtErrorThresholdPercent.Text = setting["ErrorThresholdPercent"] + "";
cboxTransferFunction.SelectedIndex = cboxTransferFunction.Items.IndexOf(setting["TransferFunction"]);
for (int i = 0; i < udLayers.Value; i++)
{
lstUdLayer[i].Value = (int)setting["NeuronsOfLayer[" + (i+1) + "]"];
}
}
public void Save()
{
String temp = "";
Settings oldsetting = new Settings();
StreamReader config = new StreamReader("Config.ini", Encoding.ASCII);
temp = config.ReadToEnd();
config.Close();
// Xóa tất cả về số nơ ron của lớp để nạp lại
temp = temp.Remove(temp.IndexOf("NeuronsOfLayer["));
temp = temp.Replace("NumberOfLayers=" + oldsetting["NumberOfLayers"], "NumberOfLayers=" + ConfigData["NumberOfLayers"]);
temp = temp.Replace("LearningRate=" + oldsetting["LearningRate"], "LearningRate=" + ConfigData["LearningRate"]);
temp = temp.Replace("Momentum=" + oldsetting["Momentum"], "Momentum=" + ConfigData["Momentum"]);
temp = temp.Replace("EpochToStop=" + oldsetting["EpochToStop"], "EpochToStop=" + ConfigData["EpochToStop"]);
temp = temp.Replace("ErrorToStop=" + oldsetting["ErrorToStop"], "ErrorToStop=" + ConfigData["ErrorToStop"]);
temp = temp.Replace("ErrorThresholdPercent=" + oldsetting["ErrorThresholdPercent"], "ErrorThresholdPercent=" + ConfigData["ErrorThresholdPercent"]);
temp = temp.Replace("LearningRateUpStep=" + oldsetting["LearningRateUpStep"], "LearningRateUpStep=" + ConfigData["LearningRateUpStep"]);
temp = temp.Replace("LearningRateDownStep=" + oldsetting["LearningRateDownStep"], "LearningRateDownStep=" + ConfigData["LearningRateDownStep"]);
temp = temp.Replace("TransferFunction=" + oldsetting["TransferFunction"], "TransferFunction=" + ConfigData["TransferFunction"]);
// nạp lại nơ ron của lớp
foreach (string key in ConfigData.Keys)
{
if (key.Contains("NeuronsOfLayer["))
temp += key + "=" + ConfigData[key] + Environment.NewLine;
}
StreamWriter writer = new StreamWriter("Config.ini", false, Encoding.ASCII);
writer.Write(temp);
writer.Close();
}
