Title :
Comparative Study of Different Type of Wavelet in Artificial Wavelet Neuro-Fuzzy Model
Author :
Banakar, Ahmad ; Azeem, Mohammad Fazle
Author_Institution :
Dept. of Electr. Eng.
Abstract :
Due to ability of localized approximation of wavelets and neuro-fuzzy model, wavelet neuro fuzzy is very attractive in modeling and function approximation of nonlinear systems. In present paper two new wavelet fuzzy networks namely summation wavelet neuro-fuzzy (SWNF) and multiplication wavelet neuro-fuzzy (MWNF) model is proposed. Different type of wavelet is used in the proposed models and ability of models is tested on three nonlinear dynamic system examples
Keywords :
function approximation; fuzzy neural nets; nonlinear systems; wavelet transforms; artificial wavelet neuro-fuzzy model; function approximation; localized approximation; nonlinear systems; Continuous wavelet transforms; Electronic mail; Frequency; Function approximation; Fuzzy neural networks; Fuzzy systems; Neural networks; Power system modeling; Uncertainty; Wavelet analysis;
Conference_Titel :
Adaptive and Learning Systems, 2006 IEEE Mountain Workshop on
Conference_Location :
Logan, UT
Print_ISBN :
1-4244-0166-6
DOI :
10.1109/SMCALS.2006.250710
