Training artificial neural networks with fuzzy logic rules in data classification problems

被引：0
|
作者：
Kantardzic, MM [1 ]
Elmaghraby, AS [1 ]
机构：
[1] Univ Louisville, Speed Sci Sch, Multimedia Res Lab, EMACS Dept, Louisville, KY 40292 USA
来源：
INTELLIGENT SYSTEMS | 1997年
关键词：
neural networks; fuzzy logic; acquisition; artificial intelligence;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Current fuzzy-neural systems are still relatively simple with unacceptable approximations for most real-world applications. In this paper we propose a methodology for training artificial neural networks in the domain of data classification. The methodology is based on heuristic, fuzzy logic rules, and doesn't include approximations and simplifications in fuzzy computing, typical for hybrid systems.
引用
收藏
页码：170 / 173
页数：4
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