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Proceedings Paper

Question of optical realization of neural networks
Author(s): A. M. Gorelov; Oleg V. Rozhkov; V. S. Yudachev
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Paper Abstract

The comparative analysis of hologram and optoelectronic implementations of neural networks (NN) shows that at least for a small-format (N < 128) and middle-format (N equals 256...1024) optical NN the optoelectronic implementation is optimum. It is based on the original optical vector-matrix multiplier. This one contains quasi-rectangular LED-array for the N-length input vector load, projective monochrome PCs LCD for weight-matrix input, quasi-rectangular array of Si-photodiodes (or CCD), controlling PC (notebook type), and additional electronics for a linkage PC and optoelectronic neural processor. The peculiarities of such an optical system assembled from the standard optoelectronic components and providing neural processing of the middle-format images (up to 103 pixels) during one stroke of a coprocessor (10...100 ns) were examined.

Paper Details

Date Published: 7 December 1994
PDF: 11 pages
Proc. SPIE 2430, Optical Memory & Neural Networks '94: Optical Neural Networks, (7 December 1994); doi: 10.1117/12.195610
Show Author Affiliations
A. M. Gorelov, Moscow State Technical Univ. (Russia)
Oleg V. Rozhkov, Moscow State Technical Univ. (Russia)
V. S. Yudachev, Moscow State Technical Univ. (Russia)


Published in SPIE Proceedings Vol. 2430:
Optical Memory & Neural Networks '94: Optical Neural Networks
Andrei L. Mikaelian, Editor(s)

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