ON THE EQUIVALENCE OF NEURAL NETS AND FUZZY EXPERT SYSTEMS

被引：44

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

页码：129 / 134

页数：6

共 12 条

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