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

页码：189 / 194

页数：6

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