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Proceedings Paper

Pattern-weighting method for optical associative memory
Author(s): Boris S. Kiselyov; Nickolay Yu Kulakov; Andrei L. Mikaelian; Vladimir A. Shkitin; Sergei Glebov
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Paper Abstract

Different rules for weighting input vectors in high-order associative memory models are considered. Numerical simulation results are given showing the advantage of the pattern weighting in recognizing high-correlated patterns. An optoelectronic implementation of the inner-product associative memory with weighting method is presented.

Paper Details

Date Published: 12 July 1993
PDF: 8 pages
Proc. SPIE 1806, Optical Computing, (12 July 1993); doi: 10.1117/12.147842
Show Author Affiliations
Boris S. Kiselyov, Institute of Optical Neural Technologies (Russia)
Nickolay Yu Kulakov, Institute of Optical Neural Technologies (Russia)
Andrei L. Mikaelian, Institute of Optical Neural Technologies (Russia)
Vladimir A. Shkitin, Institute of Optical Neural Technologies (Russia)
Sergei Glebov, Institute of Optical Neural Technologies (Russia)


Published in SPIE Proceedings Vol. 1806:
Optical Computing

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