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Proceedings Paper

Hybrid optoelectronic neurocomputer: variants of realization
Author(s): Nickolay N. Evtikhiev; Rostislav S. Starikov; Igor B. Scherbakov; Alexandr E. Gaponov; Boris N. Onyky
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Paper Abstract

The optoelectronic devices are the most effective for realization in the form of the vector- matrix multiplier. Proposed optoelectronic neurocomputers (OENC) consist of optical vector- matrix multiplier (OVMM), random access memory (RAM) and electronic control system. There are two variants of realization. The first neurocomputer scheme includes OVMM based on MAOM -- multichannel multifrequency acousto-optic modulator (Bragg cell). MAOM is the fastest up-to-date spatial light modulator. The second neurocomputer is constructed on the basis of planar OVMM (POVMM). Vector-matrix multiplication in POVMM is executed in a very small volume. The POVMM consists of matrix of light emitting diodes and array of linear photodetectors. A special computer program `NEUROEMULATOR' was designed to learn and to test performance of neural networks. Neural networks were trained with gradient and stochastic algorithms. The paper presents results of computer simulation and hardware implementation of neural networks.

Paper Details

Date Published: 6 April 1995
PDF: 8 pages
Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); doi: 10.1117/12.205102
Show Author Affiliations
Nickolay N. Evtikhiev, Moscow State Engineering Physics Institute (Russia)
Rostislav S. Starikov, Moscow State Engineering Physics Institute (Russia)
Igor B. Scherbakov, Moscow State Engineering Physics Institute (Russia)
Alexandr E. Gaponov, Moscow State Engineering Physics Institute (Russia)
Boris N. Onyky, Moscow State Engineering Physics Institute (Russia)


Published in SPIE Proceedings Vol. 2492:
Applications and Science of Artificial Neural Networks
Steven K. Rogers; Dennis W. Ruck, Editor(s)

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