The RBF Neural Network: A Three-Layer Feedforward Architecture with a Single Hidden Layer

The RBF (Radial Basis Function) neural network is a three-layer feedforward structure consisting of an input layer, a hidden layer, and an output layer. This code implementation focuses on constructing and training an RBF neural network model, featuring algorithmic explanations for key components such as radial basis function calculations, weight optimization, and training methodologies.