Cart (Loading....) | Create Account
Close category search window
 

On designing an optimal fuzzy neural network controller using genetic algorithms

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Zhou, Z.J. ; Dept. of ACE, South China Univ. of Technol., Guangzhou, China ; Mao, Z.Y. ; Tam, P.K.S.

This paper presents an optimal scheme for the design of a fuzzy neural network as a controller through simulating the process of the controlled system. The structure and the parameters of the fuzzy neural network are first optimized by a three-stage strategy applying genetic algorithms off-line. The defuzzification part of the fuzzy neural network is then reconstructed and is optimized to refine the control rules online. The simulation results demonstrate that the responses are more favorable than that of conventional fuzzy controller and conventional fuzzy neural network controller trained by expert data

Published in:

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on  (Volume:1 )

Date of Conference:

2000

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.