private void button1_Click(object sender, EventArgs e)
{
double dou = 0;
listBox1.Items.Clear();
for (int i = 0; i < 10; i++)
{
//Коэффициент обучение сети
n = Convert.ToDouble(textBox_n.Text);
//Объем обучающей выборки
countRow = Convert.ToInt32(textBox_X.Text);
numHidden = Convert.ToInt32(textBox_C.Text);
countIter = Convert.ToInt32(textBox1.Text);
// чтение входных данных
x = ReaderWriter.ReadMatrix(filename, countRow, numInput);
double[] d = ReaderWriter.ReadVector(filename, countRow, numInput);
D = new double[countRow, numOutput];
RecD(d);
//Инициализация центроид
centroids = ReaderWriter.ReadMatrixC(filename, countRow, numInput, numHidden, d);
rn = new RBFNetwork(countRow, numInput, numHidden, numOutput, x, centroids, n, temp, er);
rn.countIter = countIter;
//Инициализация весов
rn.SetWeight();
// Обучение сети
rn.TrainNetwork(x, centroids, countRow, numInput, numHidden, numOutput, D);
er = rn.errTrain;
countRow = 30;
// чтение входных данных
x = ReaderWriter.ReadMatrix("iris_test.txt", countRow, numInput);
d = ReaderWriter.ReadVector("iris_test.txt", countRow, numInput);
D = new double[countRow, numOutput];
RecD(d);
// Тестирование сети
errTest = rn.TestNetwork(x, D, countRow, numInput, numOutput, numHidden);
dou += errTest;
listBox1.Items.Add(errTest);
}
listBox1.Items.Add("Result: " + dou / 10);
}
private void button_Sample_Click(object sender, EventArgs e)
{
label_err.Text = "Learning error: ";
label_Test.Text = "Testing error: ";
n = Convert.ToDouble(textBox_n.Text);
//Объем обучающей выборки
countRow = Convert.ToInt32(textBox_X.Text);
numHidden = Convert.ToInt32(textBox_C.Text);
countIter = Convert.ToInt32(textBox1.Text);
x = ReaderWriter.ReadMatrix(filename, countRow, numInput);
double[] d = ReaderWriter.ReadVector(filename, countRow, numInput);
D = new double[countRow, numOutput];
RecD(d);
//Ин центроид
centroids = ReaderWriter.ReadMatrixC(filename, countRow, numInput, numHidden, d);
Console.WriteLine(centroids);
rn = new RBFNetwork(countRow, numInput, numHidden, numOutput, x, centroids, n, temp, er);
// Console.WriteLine(rn);
rn.countIter = countIter;
//Ин весов
rn.SetWeight();
rn.TrainNetwork(x, centroids, countRow, numInput, numHidden, numOutput, D);
// Console.WriteLine(rn);
er = rn.errTrain;
label_err.Text = "Learning error: " + er;
temp = rn.temp;
// button_Sample.Enabled = false;
button_test.Enabled = true;
}