THE TEMPORAL KOHONEN MAP

被引：134

作者：

CHAPPELL, GJ ^{[1
]}

TAYLOR, JG ^{[1
]}

机构：

[1] UNIV LONDON KINGS COLL,DEPT MATH,CTR NEURAL NETWORKS,LONDON WC2R 2LS,ENGLAND

来源：

NEURAL NETWORKS | 1993年 / 6卷 / 03期

关键词：

KOHONEN; TOPOGRAPHIC; NEURAL NETWORKS; TEMPORAL SEQUENCE; LEARNING RULE; CONTEXT;

D O I：

10.1016/0893-6080(93)90011-K

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A biologically-plausible modification to the neurons in a Kohonen network is proposed to lend the network an understanding of temporality. It is shown that the modification ought to allow a Kohonen network to map sequences of inputs without having to resort to external time delay mechanisms. Simulation reveals that a 4 X 4 network exposed repeatedly to four possible inputs is able to classify the 16 possible sequences of length 2. Investigation has begun into the use of the Temporal Kohonen Map to solve problems of context distinction in syntactical analysis.

引用

页码：441 / 445

页数：5

共 9 条

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