General Parameter Radial Basis Function Neural Network Based Adaptive Fuzzy Systems

Radial Basis Neural Network Based Islanding Detection in Distributed Generation

This article presents a Radial Basis Neural Network (RBNN) based islanding detection technique. Islanding detection and prevention is a mandatory requirement for grid-connected distributed generation (DG) systems. Several methods based on passive and active detection scheme have been proposed. While passive schemes have a large non detection zone (NDZ), concern has been raised on active method ...

Radial-Basis-Function Neural Network Optimization of Microwave Systems

An original approach in microwave optimization, namely, a neural network procedure combined with the full-wave 3D electromagnetic simulator QuickWave-3D implemented a conformal FDTD method, is presented. The radial-basis-function network is trained by simulated frequency characteristics of S-parameters and geometric data of the corresponding system. High accuracy and computational efficiency of...

Identification of Nonlinear Systems Using Radial Basis Function Neural Network

Abstract—This paper uses the radial basis function neural network (RBFNN) for system identification of nonlinear systems. Five nonlinear systems are used to examine the activity of RBFNN in system modeling of nonlinear systems; the five nonlinear systems are dual tank system, single tank system, DC motor system, and two academic models. The feed forward method is considered in this work for mod...

Adaptive local Radial Basis Function network

nonstationary channel equalisation problem Eng-Siong Chng y 1, Howard Yang z, Herbert Wiklickyz y Institute of Systems Science, National University of Singapore, Singapore 11957. Email : [email protected] z Brain Information Processing Group, Frontier Research Programme, RIKEN. 2-1 Hirosawa, Wako-shi, Saitama 351-01, JAPAN. Abstract| The computational requirement to implement the optimal Bayesi...

A supervised radial basis function neural network