DocumentCode :
3198716
Title :
The Application of Fuzzy-Neural Network Based on HGA in the Washing Machine Control System
Author :
Gui-Juan Wang ; Zuo-Xun Wang ; Hong-dong Xu ; Xu-guang Zhang
Author_Institution :
Sch. of Inf. & Electr. Eng., Shandong Jianzhu Univ., Jinan, China
Volume :
3
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
702
Lastpage :
705
Abstract :
This paper has combined neural network with fuzzy control and achieved the self-learning and adaptive of fuzzy-controller, has realized the control of washing machines by a fuzzy-neural network optimization algorithms based on Hierarchical Genetic Algorithm (HGA). In addition, fuzzy-neural network structure and weight parameters have been optimized and the optimal control of the washing machine with characteristics of non-linear, time-varying, interference and pure -delay has been achieved.
Keywords :
adaptive control; fuzzy control; fuzzy neural nets; genetic algorithms; laundering; neurocontrollers; optimal control; washing machines; HGA; adaptive fuzzy controller; fuzzy neural network application; genetic algorithm; optimal control; optimization algorithms; self learning fuzzy controller; washing machine control system; Biological cells; Control engineering; Control systems; Electrical equipment industry; Fuzzy control; Genetic algorithms; Lighting control; Nonlinear control systems; Optimal control; Washing machines; Fuzzy-neural network; Hierarchical Genetic Algorithm (HGA); Washing machine control system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
Type :
conf
DOI :
10.1109/ICICTA.2010.49
Filename :
5523036
Link To Document :
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