 Hyper basis function network

A Hyper Basis Function Network (HBFN) is a type of artificial neural network that integrates aspects of both basis function networks and hyperdimensional vector representations. It is designed to handle complex, high-dimensional data and can be particularly useful in classification and regression tasks. Here are some key characteristics and components of HBFNs: 1. **Basis Function**: HBFNs use basis functions to represent data in a transformed feature space.