RBF (Radial Basis Function) Neural Network - An Important Neural Network Architecture

RBF (Radial Basis Function) neural networks represent a significant neural network architecture where training occurs in two distinct phases: first, obtaining initial weights through clustering algorithms, and second, refining network weights using training data. The implementation typically involves using k-means clustering for center selection and least squares methods for weight optimization.