On the equivalence of neural nets and fuzzy expert systems

被引：2
|
作者：
Buckley, JJ [1 ]
Hayashi, Y
Czogala, E
机构：
[1] Univ Alabama, Dept Math, Birmingham, AL 35294 USA
[2] Ibaraki Univ, Dept Comp & Informat Sci, Hitachi, Ibaraki 316, Japan
[3] Silesian Tech Univ, Dept Automat Control Elect & Comp Sci, PL-44101 Gliwice, Poland
来源：
FUZZY SETS AND SYSTEMS | 1999年 / 100卷
关键词：
fuzzy expert systems; neural nets; approximation; discretization; continuous systems;
D O I：
10.1016/S0165-0114(99)80010-4
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.
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页码：145 / 150
页数：6
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