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Proceedings Paper

Associative Memory Neural Networks With Concatenated Vectors
Author(s): E. Marom; B. H. Soffer; U. Efron; Y. Owechko
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Paper Abstract

The effects of vector concatenation as well as of eliminating the zero diagonal restriction of associative memory neural network matrices are analyzed. Extensive computer simulations seem to indicate that the use of concatenated vectors increases the storage capacity of the association matrices.

Paper Details

Date Published: 8 February 1988
PDF: 8 pages
Proc. SPIE 0963, Optical Computing '88, (8 February 1988); doi: 10.1117/12.947935
Show Author Affiliations
E. Marom, Hughes Research Laboratories (United States)
B. H. Soffer, Hughes Research Laboratories (United States)
U. Efron, Hughes Research Laboratories (United States)
Y. Owechko, Hughes Research Laboratories (United States)


Published in SPIE Proceedings Vol. 0963:
Optical Computing '88
Pierre H. Chavel; Joseph W. Goodman; Gerard Roblin, Editor(s)

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