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
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