Radial Basis Function Neural Network

This is a radial basis function neural network implementation that approximates a two-dimensional function using RBF network learning algorithms, with weight adjustments performed through the LMS algorithm. The implementation includes Gaussian activation functions in hidden layers and linear output combinations.