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
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;
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
DOI :
10.1109/APCCAS.2000.913511
