DocumentCode
2520602
Title
Optimal design and optimal algorithm of fuzzy CMAC
Author
Xiaolong, Dai ; Xudong, Zhou ; Meio, A. ; Fukao, T. ; Adachi, N.
Author_Institution
Kyoto Univ., Japan
fYear
1998
fDate
29-31 Jul 1998
Firstpage
797
Lastpage
802
Abstract
A novel CMAC is explored in the paper. The optimal design means to optimize distribution of displacement vectors and membership function of the fuzzy CMAC. This method unifies the optimization problem of fuzzy CMAC and its learning object. The distribution of displacement vectors, the membership function, and optimal internal representation of fuzzy CMAC can be established by genetic algorithm. The learning ability of this optimal fuzzy CMAC is much better than Albus´ CMAC and others. Simulation shows the effectiveness of this method
Keywords
cerebellar model arithmetic computers; fuzzy neural nets; genetic algorithms; learning (artificial intelligence); displacement vectors; fuzzy CMAC; genetic algorithm; learning ability; membership function; optimal internal representation; optimization problem; Algorithm design and analysis; Design optimization; Extraterrestrial phenomena; Fuzzy systems; Genetic algorithms; Neural networks; Optimization methods; Robot control;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE '98. Proceedings of the 37th SICE Annual Conference. International Session Papers
Conference_Location
Chiba
Type
conf
DOI
10.1109/SICE.1998.742917
Filename
742917
Link To Document