7 December 1994 Question of optical realization of neural networks
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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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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); doi: 10.1117/12.195610; https://doi.org/10.1117/12.195610
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