IEEE

A Radial Basis Function Neural Network-Based Fault Detection Scheme for a Microgrid System

Abstract: A radial basis function neural network (RBFNN) based fault detection and classification scheme of a Microgrid (MG) system is presented in this paper. The proposed scheme processes eight ...
GitHub

Radial Basis Function-based Kolmogorov-Arnold Networks (RBF-KAN)

This repository implements Radial Basis Function (RBF)-based Kolmogorov-Arnold Networks (KAN), a neural network architecture based on the Kolmogorov-Arnold representation theorem. The design (called ...
IEEE

Using Radial Basis Function Neural Network With Weight Memory Mechanism: Nonlinear System Identification

Abstract: The radial basis function neural network (RBFNN) is a learning model with better generalization ability, which attracts much attention in nonlinear system identification. Compared with the ...
EurekAlert!

Radial source function approaches for large-scale wave propagation

The book "Radial Basis Function Methods For Large-Scale Wave Propagation", details the development of techniques and ideas from the radial basis function. It begins with a mathematical description of ...