Radial basis function network

A Radial Basis Function (RBF) network is a type of artificial neural network that uses radial basis functions as activation functions. RBF networks are particularly known for their application in pattern recognition, function approximation, and time series prediction. Here are some key features and components of RBF networks: ### Structure 1. **Input Layer**: This layer receives the input data. Each node corresponds to one feature of the input.