Research of Fuzzy RBF Approach Method Based on IMGA

Article Preview

Abstract:

A research of fuzzy RBF approach method based on IMGA is proposed, depending on the equivalency between RBF network and fuzzy inference, a fuzzy RBF network is designed. At the same time, the parameters and weights of the fuzzy RBF are optimized based on the immune memory genetic algorithm (IMGA), and the speed of convergence is accelerated. The optimized system is simulated by MATLAB, and compared with the original system, the approach effect of the fuzzy RBF is improved by IMGA.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

311-315

Citation:

Online since:

January 2015

Authors:

Keywords:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] FU Jian-zhong, CHEN Z-i chen. Research on modeling thermal dynamic errors of precision machine based on fuzzy logic and artificial neural network [J]. Journal of Zhejiang University: Engineering Science, 2004, 38(6): 742 746.

Google Scholar

[2] ZHOU We-i liang, HE Kun, CAO Xian-bin, et al. Immune genetic algorithm for designing BP network [J]. Journal of Anhui University: Natural Science, 1999, 23(1): 63 66.

Google Scholar

[3] XIN Jiangqing, ICKERSON John E, DICKERSON JulieA. Fuzzy Feature Extraction and Visualization for Intrusion Detection[C]. The IEEE Inter-nationalConferenceOn Fuzzy Systems, 2003. 1249-1254.

DOI: 10.1109/fuzz.2003.1206610

Google Scholar

[4] LIUMin, LING Yean Yng. Using Fuzzy Neural Network Approach to Estimate Contractor. s Markup[J]. Building and Enviroment, 2003, 38: 1303-1308.

DOI: 10.1016/s0360-1323(03)00135-5

Google Scholar

[5] JUANG Chia-feng. Temporal Problem Solved by Dynamic FuzzyNetwork Based on Genetic Algorithm with Varible-length Chromosomes[J]. Fuzzy Sets and Systems, 2004, 142: 199-219.

DOI: 10.1016/s0165-0114(03)00119-2

Google Scholar