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Proceedings Paper

One compact optical implementation method for second-order neural networks
Author(s): Changhe Zhou; Liren Liu; ZhiJiang Wang
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Paper Abstract

One compact optical architecture for implementation of second-order neural network, which get rid of some redundant terms of the input vectors and the interconnection matrix without reducing its associative memory, is put forward.

Paper Details

Date Published: 12 July 1993
PDF: 2 pages
Proc. SPIE 1806, Optical Computing, (12 July 1993); doi: 10.1117/12.147843
Show Author Affiliations
Changhe Zhou, Shanghai Institute of Optics and Fine Mechanics (China)
Liren Liu, Shanghai Institute of Optics and Fine Mechanics (China)
ZhiJiang Wang, Shanghai Institute of Optics and Fine Mechanics (China)


Published in SPIE Proceedings Vol. 1806:
Optical Computing

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