private void selectLearningDatasetFileButton_Click(object sender, EventArgs e)
{
if (trainDatasetFileDialog.ShowDialog() == System.Windows.Forms.DialogResult.OK)
{
string filename = trainDatasetFileDialog.FileName;
learningDatasetFileTExtBox.Text = filename;
trainDataset = new NCDataSet(filename);
learningDatasetSizeTextBox.Text = trainDataset.Length.ToString();
learningDatasetAttrsCountTextBox.Text = trainDataset.Dimension.ToString();
learningDatasetClassesCountTextBox.Text = trainDataset.GetClassesList().Length.ToString();
classesListView.Clear();
foreach (string cls in trainDataset.GetClassesList())
classesListView.Items.Add(cls);
sectionsDataGridView.Rows.Clear();
for (int i = 0; i < trainDataset.Dimension; ++i)
{
sectionsDataGridView.Rows.Add();
sectionsDataGridView.Rows[i].Cells[0].Value = "x" + (i + 1).ToString();
sectionsDataGridView.Rows[i].Cells[1].Value = 3;
}
trainButton.Enabled = true;
}
}
private void checkButton_Click(object sender, EventArgs e)
{
if (checkFileDialog.ShowDialog() == System.Windows.Forms.DialogResult.OK)
{
string filename = checkFileDialog.FileName;
NCDataSet dataset = new NCDataSet(filename);
int goodCount = 0;
double rmse = 0;
for (int i = 0; i < dataset.Length; ++i)
{
string result = network.Classify(dataset[i]);
if (dataset[i].Class == result)
++goodCount;
double[] desiredOutput = new double[dataset.GetClassesList().Length];
desiredOutput[network.GetClassIndex(dataset[i].Class)] = 1;
double[] output = network.GetOutput(dataset[i]);
for (int z = 0; z < output.Length; ++z)
rmse += (desiredOutput[z] - output[z]) * (desiredOutput[z] - output[z]);
}
rmse /= dataset.Length;
string results = String.Format("Размер выборки: {0}\nТочность: {1}%\nНеудачных попыток: {2}\nError: {3}", dataset.Length, (goodCount * 100.0 / dataset.Length).ToString("0.##"), dataset.Length - goodCount, rmse.ToString("0.##"));
MessageBox.Show(results, "Результаты");
}
}
