Advertisement
Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- static public RegressionData polinomialAutoRegression(double[,] X, double[] Y)
- {
- RegressionData data = new RegressionData(X, Y);
- double[,] XData = new double[(X.Length / Y.Length)*3-2, Y.Length];
- double[] YData = new double[Y.Length];
- int k = 1;
- for (int j = 0; j < Y.Length; j++)
- {
- XData[0, j] = X[0, j];
- YData[j] = Y[j];
- }
- for (int i = 1; i < X.Length / Y.Length; i++)
- {
- for (int j = 0; j < Y.Length; j++)
- {
- XData[k, j] = X[i, j];
- XData[k + 1, j] = Math.Pow(X[i, j], 2);
- XData[k + 2, j] = Math.Pow(X[i, j], 3);
- }
- k += 3;
- }
- data = baseRegression(XData, YData);
- int s = 1;
- for (int i = 0; i < data.Y.Length; i++)
- {
- data.Y[i] = data.Koef[0];
- }
- for (int i = 1; i < X.Length / Y.Length; i++)
- {
- for (int j = 0; j < Y.Length ; j++)
- {
- data.Y[j] += data.Koef[s] * (X[i, j]) + data.Koef[s + 1] * Math.Pow((X[i, j]), 2) + data.Koef[s + 2] * Math.Pow((X[i, j]), 3);
- }
- s += 3;
- }
- return data;
- }
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement