AMALGAMATION OF NEURAL NETWORKS AND FUZZY-LOGIC SYSTEMS - A SURVEY

被引：8
作者：
DU, TCT
WOLFE, PM
机构：
[1] Department of Industrial and Management Systems Engineering, Arizona State University, Tempe
来源：
COMPUTERS & INDUSTRIAL ENGINEERING | 1995年 / 29卷
关键词：
D O I：
10.1016/0360-8352(95)00070-H
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Both neural networks and fuzzy:logic systems exhibit human-like mental processing. The similarities and dissimilarities of these two technologies, such as mold-layer operations of neural networks and max-min operation in fuzzy logic systems, make apparent that there are advantages to combining them. However, this was not done until the late 1980's. Surveying the literature revealed eight different approaches to combining the merits of fuzzy logic systems and neural networks.
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页码：193 / 197
页数：5
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