A fuzzy associative memory pattern classifier

被引：0
|
作者：
Xue, Z [1 ]
Gao, XB [1 ]
Xie, WX [1 ]
机构：
[1] Xidian Univ, Sch EE, Xian 710071, Peoples R China
来源：
ICSP '98: 1998 FOURTH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, PROCEEDINGS, VOLS I AND II | 1998年
关键词：
fuzzy associative memory; classifier; target recognition;
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：
A fuzzy associative memory pattern classifier (FAMPC) based on; fuzzy set maps and the generation method of fuzzy rules is presented at first. Secondly,a fuzzy neural network is developed to realize the classifier based on fuzzy-neural hybrid system theories. Finally the advantages of FAMPC are shown with an experiment by comparing with the common method. The result shows that FAMPC can obtain satisfied recognition performance.
引用
收藏
页码：1217 / 1220
页数：4
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