void singleTrainingPattern()
{
	cout << "Single training pattern: \n";
	cout << rho1 << " < " << "x[i]" << " < " << rho2 << "\n";
	cout << omega1 << " < " << "w[i]" << " < " << omega2 << "\n";
	cout << rho1 << " < " << "z" << " < " << rho2 << "\n";
	vector<double> x;
	vector<double> w;
	for (int i = 0; i < rozmiarWzorca; i++)
	{
		x.push_back(2 * randomDouble(rho1, rho2) - 1);
		w.push_back(2 * randomDouble(omega1, omega2) - 1);
	}

	double z = randomDouble(rho1, rho2);
	double y;

	cout << "z = " << z << "\n";

	for (int k = 0; k < liczbaIteracji; k++)
	{
		y = dot(x, w);

		for (int i = 0; i < rozmiarWzorca+1; i++)
		{
			w[i] = w[i] + stalaUczenia * (z - y) * x[i];
		}
	}

	y = dot(x, w);
	cout << "After training:\n";
	cout << "y = " << y << "\n";
	cout << "y - z = " << y - z << "\n";
}