Question of optical realization of neural networks

A. M. Gorelov; Oleg V. Rozhkov; V. S. Yudachev

doi:10.1117/12.195610

7 December 1994 Question of optical realization of neural networks

A. M. Gorelov, Oleg V. Rozhkov, V. S. Yudachev

Proceedings Volume 2430, Optical Memory & Neural Networks '94: Optical Neural Networks; (1994) https://doi.org/10.1117/12.195610
Event: Optical Memory and Neural Networks: International Conference, 1994, Moscow, Russian Federation

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.

Citation Download Citation

A. M. Gorelov, Oleg V. Rozhkov, and V. S. Yudachev "Question of optical realization of neural networks", Proc. SPIE 2430, Optical Memory & Neural Networks '94: Optical Neural Networks, (7 December 1994); https://doi.org/10.1117/12.195610

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