FUZZY NEURAL NETWORK WITH FUZZY SIGNALS AND WEIGHTS

被引:107
作者
HAYASHI, Y
BUCKLEY, JJ
CZOGALA, E
机构
[1] UNIV ALABAMA,DEPT MATH,BIRMINGHAM,AL 35294
[2] TECH UNIV SILESIA,DEPT AUTOMAT CONTROL ELECTR & COMP SCI,PL-44101 GLIWICE,POLAND
关键词
D O I
10.1002/int.4550080405
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We discuss the direct fuzzification of a standard layered, feedforward, neural network where the signals and weights are fuzzy sets. A fuzzified delta rule is presented for learning. Three applications are given including fuzzy expert systems, fuzzy hierarchical analysis, and fuzzy systems modeling.
引用
收藏
页码:527 / 537
页数:11
相关论文
共 15 条
[1]   FUZZY HIERARCHICAL ANALYSIS [J].
BUCKLEY, JJ .
FUZZY SETS AND SYSTEMS, 1985, 17 (03) :233-247
[2]   ON THE EQUIVALENCE OF NEURAL NETS AND FUZZY EXPERT SYSTEMS [J].
BUCKLEY, JJ ;
HAYASHI, Y ;
CZOGALA, E .
FUZZY SETS AND SYSTEMS, 1993, 53 (02) :129-134
[3]   SOLVING FUZZY EQUATIONS [J].
BUCKLEY, JJ .
FUZZY SETS AND SYSTEMS, 1992, 50 (01) :1-14
[4]   A FUZZY EXPERT SYSTEM [J].
BUCKLEY, JJ ;
SILER, W ;
TUCKER, D .
FUZZY SETS AND SYSTEMS, 1986, 20 (01) :1-16
[5]  
BUCKLEY JJ, IN PRESS FRONTIERS A
[6]  
BUCKLEY JJ, 1991, DEC P WORLD C EXP SY, V1, P108
[7]  
Cybenko G., 1989, Mathematics of Control, Signals, and Systems, V2, P303, DOI 10.1007/BF02551274
[8]  
GUPTA MM, 1991, JUL P INT JOINT C NE, V2, P431
[9]  
HAYASHI Y, 1992, JUN P INT JOINT C NE, V2, P413
[10]  
HAYASHI Y, 1992, JUN P INT JOINT C NE, V2, P720