ON THE EQUIVALENCE OF NEURAL NETS AND FUZZY EXPERT SYSTEMS

被引：45
|
作者：
BUCKLEY, JJ
HAYASHI, Y
CZOGALA, E
机构：
[1] IBARAKI UNIV,DEPT COMP & INFORMAT SCI,IBARAKI 316,JAPAN
[2] TECH UNIV SILESIA,DEPT AUTOMAT CONTROL ELECTR & COMP SCI,PL-44101 GLIWICE,POLAND
来源：
FUZZY SETS AND SYSTEMS | 1993年 / 53卷 / 02期
关键词：
FUZZY EXPERT SYSTEMS; NEURAL NETS; APPROXIMATION; DISCRETIZATION; CONTINUOUS SYSTEMS;
D O I：
10.1016/0165-0114(93)90167-G
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We show, under the assumptions described in the paper, that: (1) we can approximate a neural net to any degree of accuracy using a fuzzy expert system; and conversely (2) we may approximate a fuzzy expert system to any degree of accuracy with a neural net.
引用
收藏
页码：129 / 134
页数：6
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