A review of learning algorithm for radius basis function neural network

Author

Liu, Guohai ; Xiao, Xiahong ; Mei, Congli ; Ding, Yuhan

Author_Institution

Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China

fYear

2012

fDate

23-25 May 2012

Firstpage

1112

Lastpage

1117

Abstract

In this paper, Radius Basis Function Neural Network´s basic learning algorithms are reviewed from the aspects of convergence, training speed, network structure, generalization, etc. Advantages and disadvantages of each learning algorithm are pointed out. And the prospect of dynamic neural network is considered.

Keywords

generalisation (artificial intelligence); learning (artificial intelligence); radial basis function networks; convergence; dynamic neural network; generalization; learning algorithm; network structure; radius basis function neural network; training speed; Approximation algorithms; Biological neural networks; Heuristic algorithms; Neurons; Optimization; Signal processing algorithms; GA; Growth method; OLS; PSO; Pruning method; Radius Basis Function Neural Network;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2012 24th Chinese

Conference_Location

Taiyuan

Print_ISBN

978-1-4577-2073-4

Type

conf

DOI

10.1109/CCDC.2012.6244177

Filename

6244177

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2667784