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Proceedings Paper

Novel association model optimized by neural net
Author(s): Mingzhe Lu; JinLi Chen; Fu-Lai Liu; ZhiLiang Fang; Guoguang Mu
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Paper Abstract

Based on the optimization with neural net, a new algorithm for construction of an interconnection weight matrix (IWM) of binary Hopfield-type dynamic associative memories is proposed. Computer simulation shows that is has higher storage capacity and better error- correction ability than Hopfield model.

Paper Details

Date Published: 19 August 1993
PDF: 5 pages
Proc. SPIE 1966, Science of Artificial Neural Networks II, (19 August 1993); doi: 10.1117/12.152642
Show Author Affiliations
Mingzhe Lu, Nankai Univ. (China)
JinLi Chen, Nankai Univ. (China)
Fu-Lai Liu, Nankai Univ. (China)
ZhiLiang Fang, Nankai Univ. (China)
Guoguang Mu, Nankai Univ. (China)

Published in SPIE Proceedings Vol. 1966:
Science of Artificial Neural Networks II
Dennis W. Ruck, Editor(s)

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