A Hybrid Fuzzy Wavelet Neural Network Combined with Shuffled Frog Leaping Algorithm for Identification of Dynamic Plant

被引：0
|
作者：
Dastjerdi, Reza Sharifian [1 ]
Sadeghi, Ramtin [1 ]
Kabiri, Farshad [1 ]
Panah, Payam Ghaebi [1 ]
机构：
[1] Islamic Azad Univ, Dept Elect Engn, Lenjan Branch, Esfahan, Iran
来源：
LIFE SCIENCE JOURNAL-ACTA ZHENGZHOU UNIVERSITY OVERSEAS EDITION | 2012年 / 9卷 / 04期
关键词：
Shuffled Frog Leaping Algorithm; fuzzy wavelet neural network; identification; SYSTEM-IDENTIFICATION; DESIGN;
D O I：
暂无
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
This paper present a Fuzzy Wavelet Neural Network (FWNN) design based on Shuffled Frog Leaping (SFL) Algorithm to improve the function approximation accuracy and general capability of the FWNN. In presented FWNN, the fuzzy rules that contain wavelets are constructed. Each fuzzy rule corresponds to a sub-wavelet neural network (sub-WNN) consisting of wavelets with a specified dilation value. Orthogonal least square (OLS) algorithm is used to determine the number of fuzzy rules and to purify the wavelets for each rule and SFL algorithm is suggested for learning of FWNN parameters. The structure is tested for the identification of the dynamic plant. Simulation results demonstrate effectiveness and ability of proposed approach. [Reza Sharifian Dastjerdi, Ramtin Sadeghi, Farshad Kabiri, Payam Ghaebi Panah. A Hybrid Fuzzy Wavelet Neural Network Combined with Shuffled Frog Leaping Algorithm for Identification of Dynamic Plant. Life Sci J 2012; 9(4): 4994-4998] (ISSN:1097-8135). http://www.lifesciencesite.com. 748
引用
收藏
页码：4994 / 4998
页数：5
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