Fuzzy wavelet network modeling with B-spline wavelet

Author

Wang, Jun ; Xiao, Jian ; Hu, Dan

Author_Institution

Sch. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China

Volume

7

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

4144

Abstract

Based on the wavelet transform, we present a fuzzy wavelet network (FWN) for approximating arbitrary nonlinear function. Compared with the other methods, the FWN with B-spline wavelet has more frequency information. The approximation capability is proved. Simulation examples are given for static system and dynamic system respectively. The presented FWN not only reserves the multi-resolution capability of WNN, but also has the advantages of the approximation accuracy and good generalization performance.

Keywords

function approximation; fuzzy neural nets; fuzzy set theory; generalisation (artificial intelligence); splines (mathematics); wavelet transforms; B-spline wavelet; arbitrary nonlinear function approximation; dynamic system; fuzzy neural network; fuzzy wavelet network modeling; generalization; static system; system identification; wavelet transform; Electronic mail; Frequency; Fuzzy neural networks; Fuzzy systems; Multiresolution analysis; Nonlinear dynamical systems; Space technology; Spline; System identification; Wavelet transforms; Fuzzy neural network; system identification; wavelet network;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527663

Filename

1527663