The Research and Application of the Fuzzy Neural Network Control Based on Genetic Algorithm

Yong Chao Zhang; Wen Zhuang Zhao; Jin Lian Chen

doi:10.4028/www.scientific.net/AMR.403-408.191

Paper Titles

An Optimization Algorithm of Foreground Objects Extraction
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False Peaks Suppression based on Cross-High-Order Spectral QR Decomposition Approach
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MIMO Radar Target Detection Performance Analysis with Unknown Parameters
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CMA Blind Multiuser Detector Based on FLOS in Impulse Noise
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The Research and Application of the Fuzzy Neural Network Control Based on Genetic Algorithm
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Some Traveling Wave Solutions for the Boussinesq Equation
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Traveling Wave Solution of (2+1) Dimensional Boussinesq Equation by Bernoulli Sub-ODE Method
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408The Research and Application of the Fuzzy Neural...

The Research and Application of the Fuzzy Neural Network Control Based on Genetic Algorithm

Abstract:

How fuzzy technology and neural networks and genetic algorithm combine with each other has become the focus of research. A fuzzy neural network controller was proposed based on defuzzification and optimization around the fuzzy neural network structure. Genetic algorithm of fuzzy neural network was brought forward based on optimal control theory. Optimal structure and parameters of fuzzy neural network controller were Offline searched by way of controller performance indicators of genetic algorithm. Fuzzy neural network controller through genetic algorithm was accessed in fuzzy neural network intelligent control system.

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Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

191-195

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.191

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Online since:

November 2011

Authors:

Yong Chao Zhang, Wen Zhuang Zhao, Jin Lian Chen

Keywords:

Fuzzy Technology, Genetic Algorithm (GA), Neural Network (NN), Optimal Control

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