A new pattern recognition algorithm based on fuzzy association degree

被引：0
|
作者：
Ding, SF [1 ]
Shi, ZZ [1 ]
机构：
[1] Shandong Agr Univ, Coll Informat Sci & Engn, Tai An 271018, Peoples R China
来源：
PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND BRAIN, VOLS 1-3 | 2005年
关键词：
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：
Based on fuzzy association degree, a new pattern recognition algorithm is set up. First, some new concepts of fuzzy association coefficient (FAC), Fuzzy association degree (FAD) and Fuzzy relative weight (FRW) have been proposed for surveying data information. Second, on the basis of the concepts proposed here, a new pattern recognition algorithm has been set up. At last, the algorithm set up here is applied to surveying data. The results of simulation application show that the recognition algorithm presented here is feasible and effective.
引用
收藏
页码：54 / 57
页数：4
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