DocumentCode :
881523
Title :
Improvement of bidirectional associative memories by using correlation significance
Author :
Wang, Wen-June
Volume :
29
Issue :
8
fYear :
1993
fDate :
4/15/1993 12:00:00 AM
Firstpage :
688
Lastpage :
690
Abstract :
A correlation significance technique is introduced, which uses the significances between the training associations and between the neurons of the different fields, such that the storage capacity of Kosko (1988) bidirectional associative memories (BAMs) is improved. Based on the gradient descent method, an error function is constructed such that the maximal number of stored nations which are successfully recalled can be obtained. Finally computer simulations demonstrate that the proposed method has much better storage capacity than the existing methods.
Keywords :
content-addressable storage; correlation methods; learning (artificial intelligence); neural nets; bidirectional associative memories; computer simulations; correlation significance; error function; gradient descent method; neurons; storage capacity; training associations;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19930461
Filename :
209953
Link To Document :
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