private void btnTrainARIMA_Click(object sender, EventArgs e)
{
if (_trainDataSeries == null || _trainDataSeries.Count == 0)
{
MessageBox.Show("Please set data for training", null, MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
ARIMAModel.SetData(_trainDataSeries);
ARIMAModel.AutomaticTraining();
List<double> errorARIMASeries;
ARIMAModel.GetErrorSeries(out errorARIMASeries);
NeuralModel.SetData(errorARIMASeries);
radioBtnAutomaticARIMA.Checked = true;
SettingGUIBeforeNeuralNetwork();
groupBoxARIMAParameter.Enabled = false;
txtRegularDifferencing.Text = "";
txtSeasonDifferencing.Text = "";
txtSeasonPartern.Text = "";
txtARRegular.Text = "";
txtMARegular.Text = "";
txtARSeason.Text = "";
txtMASeason.Text = "";
string model;
ARIMAModel.GetModel(out model);
ARIMA_Model ARIMAResult = new ARIMA_Model();
ARIMAResult.SetResult(model);
ARIMAResult.Show();
}
private void btnManualTrainingARIMA_Click(object sender, EventArgs e)
{
int regularDifferencing, pRegular, qRegular, pSeason, qSeason, seasonDifferencing, seasonPartern;
try
{
pRegular = Int32.Parse(txtARRegular.Text);
regularDifferencing = Int32.Parse(txtRegularDifferencing.Text);
qRegular = Int32.Parse(txtMARegular.Text);
pSeason = Int32.Parse(this.txtARSeason.Text);
seasonDifferencing = Int32.Parse(this.txtSeasonDifferencing.Text);
qSeason = Int32.Parse(this.txtMASeason.Text);
seasonPartern = Int32.Parse(this.txtSeasonPartern.Text);
ARIMAModel.ManualTraining(pRegular, regularDifferencing, qRegular, pSeason, seasonDifferencing, qSeason, seasonPartern);
List<double> errorARIMASeries;
ARIMAModel.GetErrorSeries(out errorARIMASeries);
NeuralModel.SetData(errorARIMASeries);
SettingGUIBeforeNeuralNetwork();
string model;
ARIMAModel.GetModel(out model);
ARIMA_Model ARIMAResult = new ARIMA_Model();
ARIMAResult.SetResult(model);
ARIMAResult.Show();
}
catch
{
MessageBox.Show("Input for SARIMA model is not correct", null, MessageBoxButtons.OK, MessageBoxIcon.Error);
}
}
