SHAPE-RECOGNITION USING THE KOHONEN SELF-ORGANIZING FEATURE MAP

被引：3
|
作者：
SARKARIA, SS [1 ]
HARGET, AJ [1 ]
CLARIDGE, E [1 ]
机构：
[1] UNIV BIRMINGHAM,SCH COMP STUDIES,BIRMINGHAM B15 2TT,W MIDLANDS,ENGLAND
来源：
PATTERN RECOGNITION LETTERS | 1992年 / 13卷 / 03期
关键词：
FEATURE MAP; SELF-ORGANIZATION; PERCEPTUAL SIGNIFICANCE; CLASSIFICATION;
D O I：
10.1016/0167-8655(92)90059-9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents an account of a study which shows that the Kohonen self-organising algorithm can be applied in the area of shape recognition. The results show that unsupervised training produces a Kohonen feature map capable of recognition and generalisation.
引用
收藏
页码：189 / 194
页数：6
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