// Запуск мониторинга
private void c_RunMonitoringMenu_Click(object sender, EventArgs e)
{
if (!m_MainNeuralNet.GetTrainNet)
{
MessageBox.Show("Neural network not trained, train it in monitoring tools.");
return;
}
if (!m_Monitoring.GetRun)
{
m_Monitoring.RunMonitoring();
GraphicsForObjects.DrawingStatusMonitoring(p_MonitoringStatusPanel, m_Monitoring.GetRun);
}
}
// Запуск обучения и вывод результатов
private void StartLearning()
{
try
{
object o_Errors = m_MainNet.TeacherTraining(i_InputCount, i_OutputCount, s_InputTrainDataFile, s_OutputTrainDataFile);
c_GraphPerfErrors.Invoke((Action) delegate
{
t_TrainingLog.Text += "Training completed successfully";
t_TrainingLog.Text += Environment.NewLine;
t_TrainingLog.Text += "Average learning error: " + ((object[])o_Errors)[0].ToString();
t_Error.Text = ((object[])o_Errors)[0].ToString();
// Построение графиков
double[] d_PerfErrors = (double[])(((object[])o_Errors)[1]);
double[,] d_AbsErrors = (double[, ])(((object[])o_Errors)[2]);
// Построение первого графика
c_GraphPerfErrors.Series["Values"].Points.Clear();
bool b_Test = false;
for (int i = 5; i < d_PerfErrors.Length; i++)
{
if (d_PerfErrors[i] < 0.1 || b_Test)
{
c_GraphPerfErrors.Series["Values"].Points.AddXY(i, d_PerfErrors[i]);
b_Test = true;
}
}
// Построение второго графика
c_GraphAbsErrors.Series["Delay time, ms"].Points.Clear();
c_GraphAbsErrors.Series["Average transfer speed, bps"].Points.Clear();
for (int i = 0; i < d_AbsErrors.GetUpperBound(1) + 1; i++)
{
c_GraphAbsErrors.Series["Delay time, ms"].Points.AddXY(i, d_AbsErrors[0, i]);
}
for (int i = 0; i < d_AbsErrors.GetUpperBound(1) + 1; i++)
{
c_GraphAbsErrors.Series["Average transfer speed, bps"].Points.AddXY(i, d_AbsErrors[1, i]);
}
});
// Запускаем мониторинг, если он был остановлен
if (b_RunMonitoring)
{
m_Monitoring.RunMonitoring();
}
}
catch (Exception e_Ex)
{
MessageBox.Show("Error code: " + Math.Abs(e_Ex.GetHashCode()) + ". Contact Support.");
}
b_Run = false;
}