DocumentCode :
328332
Title :
On constructing fuzzy membership functions and applications in fuzzy neural networks
Author :
Wang, Chi-Hsu ; Lee, Tsu-Tian ; Wang, Wei-Yen ; Tseng, Pao-Shun
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Inst. of Technol., Taipei, Taiwan
Volume :
1
fYear :
1993
fDate :
25-29 Oct. 1993
Firstpage :
778
Abstract :
A unified form of fuzzy membership functions, called as B-spline membership functions (BMFs) is proposed. The computer simulation of fuzzy control of a model car is considered as an application of BMFs in fuzzy neural networks. The example shows that the number of iterations for learning is substantially less than that of conventional methods.
Keywords :
automobiles; fuzzy control; fuzzy neural nets; fuzzy set theory; splines (mathematics); B-spline membership functions; computer simulation; fuzzy control; fuzzy membership functions; fuzzy neural networks; learning; model car; Boundary conditions; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy reasoning; Fuzzy sets; Intelligent networks; Neural networks; Spline;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
Type :
conf
DOI :
10.1109/IJCNN.1993.714029
Filename :
714029
Link To Document :
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