Hybrid optoelectronic neurocomputer: variants of realization

Nickolay N. Evtikhiev; Rostislav S. Starikov; Igor B. Scherbakov; Alexandr E. Gaponov; Boris N. Onyky

doi:10.1117/12.205102

6 April 1995 Hybrid optoelectronic neurocomputer: variants of realization

Nickolay N. Evtikhiev, Rostislav S. Starikov, Igor B. Scherbakov, Alexandr E. Gaponov, Boris N. Onyky

Proceedings Volume 2492, Applications and Science of Artificial Neural Networks; (1995) https://doi.org/10.1117/12.205102
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

Nickolay N. Evtikhiev, Rostislav S. Starikov, Igor B. Scherbakov, Alexandr E. Gaponov, and Boris N. Onyky "Hybrid optoelectronic neurocomputer: variants of realization", Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); https://doi.org/10.1117/12.205102

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