Approximation capability of regular fuzzy neural networks to continuous fuzzy functions

被引：5
|
作者：
Liu, PY [1 ]
Wang, H [1 ]
机构：
[1] Natl Univ Def Technol, Dept Syst Engn & Math, Changsha 410073, Peoples R China
来源：
SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES | 1999年 / 42卷 / 02期
基金：
中国国家自然科学基金;
关键词：
regular fuzzy neural networks; universal approximation; cut-preserving fuzzy mapping;
D O I：
10.1007/BF02917113
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The approximation capability of regular fuzzy neural networks to fuzzy functions is studied. When sigma is a nonconstant, bounded and continuous function on R, some equivalent conditions are obtained, with which continuous fuzzy functions can be approximated to any degree of accuracy by the four-layer feedforward regular fuzzy neural network [GRAPHICS] Finally a few examples of such fuzzy functions are given.
引用
收藏
页码：175 / 182
页数：8
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