private void button1_Click(object sender, EventArgs e)
{
int countOfWindow = int.Parse(textBox5.Text);
var levels = new int[] { int.Parse(textBox4.Text), 1 };
neuro = new NeuroSystem(levels, countOfWindow);
var data = Constatnts.GetArray(double.Parse(textBox1.Text), double.Parse(textBox2.Text), double.Parse(textBox3.Text));
double max = double.MinValue;
double min = double.MaxValue;
for (int i = 0; i < data.Length; i++)
{
max = Math.Max(max, data[i].Y);
min = Math.Min(min, data[i].Y);
}
Constatnts._XMax = max;
Constatnts._XMin = min;
double E = double.MaxValue;
for (int index = countOfWindow; index < data.Length - 2; index++)
{
for (int i = countOfWindow; i <= index; i++)
{
double[] arr = new double[countOfWindow];
int k = 0;
for (int j = i - countOfWindow; j < i; j++)
{
arr[k] = Constatnts.TransformerAlong(data[j].Y);
k++;
}
neuro.SetX(arr);
double d = (Constatnts.TransformerAlong(data[i + 1].Y));
double s = neuro.GetResult();
E = Math.Pow(d - s, 2);
while (E > Constatnts._Epselon)
{
neuro.Teach(d, s);
s = neuro.GetResult();
E = Math.Pow(d - s, 2);
}
}
}
MessageBox.Show("Done!");
}
private void button3_Click(object sender, EventArgs e)
{
Clear();
var res = Constatnts.GetArray(double.Parse(textBox1.Text), double.Parse(textBox2.Text), double.Parse(textBox3.Text));
foreach (var elem in res)
{
chart1.Series[0].Points.AddXY(elem.X, elem.Y);
chart1.Series[2].Points.AddXY(elem.X, elem.Y);
}
int cp = int.Parse(textBox5.Text);
double step = double.Parse(textBox3.Text);
double lastPoint = double.Parse(textBox2.Text) - (cp * step);
var data = Constatnts.GetArray(double.Parse(textBox1.Text), double.Parse(textBox2.Text), double.Parse(textBox3.Text));
var ls = new List <double>();
for (int i = data.Length - 2 * cp; i < data.Length - cp; i++)
{
ls.Add(Constatnts.TransformerAlong(data[i].Y));
}
// lastPoint += step;
int index = data.Length - cp;
for (int i = 0; i < cp; i++)
{
neuro.SetX(ls.ToArray());
double s = neuro.GetResult();
double real = Constatnts.TransformerBack(s);
chart1.Series[1].Points.AddXY(lastPoint, real);
chart1.Series[3].Points.AddXY(lastPoint, real);
ls.Add(s);
ls.RemoveAt(0);
lastPoint += step;
dataGridView1.Rows.Add(i + 1, data[index + i].Y.ToString("N4"), real.ToString("N4"), (Constatnts.GetPercError(real, data[index + i].Y) * 100).ToString("N2"));
}
this.Refresh();
}
private void button1_Click(object sender, EventArgs e)
{
List <double[]> list = new List <double[]>();
for (int i = 0; i < 100; i++)
{
double x = 6 * Math.Truncate(i / 10d);
double some = i % 10d;
double y = 6 * some;
double[] xArr = new double[] { x / 60d, y / 60d, 1d };
list.Add(xArr);
}
double E = double.MaxValue;
int counter = 1;
while (E > Constatnts._Epselon)
{
E = double.MinValue;
for (int j = 0; j < counter; j++)
{
bool b = pointInterceptPolygon(new Point(list[j][0], list[j][1]), ls);
double d;
if (b)
{
d = 1;
}
else
{
d = 0;
}
neuro.SetX(list[j]);
double s = neuro.GetResult();
if (Math.Pow(d - s, 2) / 2d > Constatnts._Epselon)
{
neuro.Teach(d, s);
s = neuro.GetResult();
}
if (Math.Pow(d - s, 2) / 2d > E)
{
E = Math.Pow(d - s, 2) / 2.0;
}
}
if (counter != list.Count && E < Constatnts._Epselon)
{
counter++;
E = double.MaxValue;
}
}
/*
* for (int i = 0; i < list.Count; i++)
* {
* double[] xArr = list[i];
* neuro.SetX(xArr);
* double s = neuro.GetResult();
* bool b = pointInterceptPolygon(new Point(xArr[0], xArr[1]), ls);
* double d;
* if (b) d = 1;
* else d = 0;
* double E = Math.Pow(d - s, 2) / 2;
* neuro.SetX(xArr);
* while (E > Constatnts._Epselon)
* {
* neuro.Teach(d, s);
* s = neuro.GetResult();
* E = Math.Pow(d - s, 2) / 2;
* }
* }*/
MessageBox.Show("Done!");
}
