DocumentCode
2997174
Title
Learning and tuning of fuzzy membership functions by simulated annealing algorithm
Author
Liu, Guixi ; Yang, Wanhai
Author_Institution
Sch. of Electron. Eng., Xidian Univ., Xi´´an, China
fYear
2000
fDate
2000
Firstpage
367
Lastpage
370
Abstract
Extracting of fuzzy rules and learning of fuzzy membership functions are important and difficult problems in the designing of fuzzy systems. The learning of membership functions for Takaigi-Sugeno fuzzy model is discussed. The learning algorithm of membership functions based on simulated annealing is also presented. Finally, an example is given to demonstrate the validity of this algorithm
Keywords
fuzzy systems; learning (artificial intelligence); simulated annealing; tuning; Takaigi-Sugeno fuzzy model; fuzzy membership functions; fuzzy rules; learning; learning algorithm; simulated annealing; simulated annealing algorithm; tuning; Algorithm design and analysis; Convergence; Fuzzy systems; Genetic algorithms; Learning systems; Optimization methods; Signal processing algorithms; Simulated annealing; Takagi-Sugeno model; Temperature sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2000. IEEE APCCAS 2000. The 2000 IEEE Asia-Pacific Conference on
Conference_Location
Tianjin
Print_ISBN
0-7803-6253-5
Type
conf
DOI
10.1109/APCCAS.2000.913511
Filename
913511
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