Title :
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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527663
