Generalized asymmetrical bidirectional associative memory for multiple association

A classical bidirectional associative memory (BAM) suffers from low storage capacity and abundance of spurious memories though it has the properties of good generalization and noise immunity. In this paper, Hamming distance in recall procedure of usual asymmetrical BAM is replaced with modified Hamming distance by introducing weighting matrix into connection matrix. This generalization is validated to increase storage capacity, to lessen spurious memories, to enhance noise immunity, and to enable multiple association using simulation work. (C) 2002 Elsevier Science Inc. All rights reserved.
Publisher
ELSEVIER SCIENCE INC
Issue Date
2002-04
Language
ENG
Keywords

NETWORKS; CAPACITY; RECALL; MODEL

Citation

APPLIED MATHEMATICS AND COMPUTATION, v.127, no.2-3, pp.221 - 233

ISSN
0096-3003
URI
http://hdl.handle.net/10203/8186
Appears in Collection
EE-Journal Papers(저널논문)
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