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Comparative study of different type of wavelet in artificial wavelet neuro-fuzzy model
Conference proceeding

Comparative study of different type of wavelet in artificial wavelet neuro-fuzzy model

Ahmad Banakar and Mohammad Fazle Azeem
PROCEEDINGS OF THE 2006 IEEE MOUNTAIN WORKSHOP ON ADAPTIVE AND LEARNING SYSTEMS, pp.165-170
01/01/2006
DOI: https://doi.org/10.1109/SMCALS.2006.250710

Abstract

Automation & Control Systems Computer Science Computer Science, Artificial Intelligence Computer Science, Theory & Methods Engineering Engineering, Electrical & Electronic Science & Technology Technology
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.

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