ON FUZZY MODELING USING FUZZY NEURAL NETWORKS WITH THE BACKPROPAGATION ALGORITHM

被引:544
作者
HORIKAWA, S
FURUHASHI, T
UCHIKAWA, Y
机构
[1] Department of Electronic-mechanical Engineering, Faculty of Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya
来源
IEEE TRANSACTIONS ON NEURAL NETWORKS | 1992年 / 3卷 / 05期
关键词
D O I
10.1109/72.159069
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a fuzzy modeling method using fuzzy neural networks with the back-propagation algorithm. The new method can identify the fuzzy model of a nonlinear system automatically. The feasibility of the method is examined using simple numerical data.
引用
收藏
页码:801 / 806
页数:6
相关论文
共 12 条
[1]  
FURUYA T, 1988, P IIZUKA 88, P219
[2]  
Horikawa S., 1990, P INT C FUZZ LOG NEU, P103
[3]  
HORIKAWA S, 1990, 6TH P FUZZ SYST S, P57
[4]  
HORIKAWA S, 1991, 7TH P FUZZ SYST S NA, P493
[5]  
HORIKAWA S, 1990, P IEEE INT C IND EL, P1253
[6]  
KANG G, 1987, T SOC INSTRUM CONTRO, V23, P106
[7]  
McClelland J. L., 1986, PARALLEL DISTRIBUTED, V1
[8]   COMPARISON OF FUZZY-REASONING METHODS [J].
MIZUMOTO, M ;
ZIMMERMANN, HJ .
FUZZY SETS AND SYSTEMS, 1982, 8 (03) :253-283
[9]  
Sugeno M., 1988, FUZZY CONTROL
[10]  
TAKAGI H, 1988, P IIZUKA 88, P183