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Proceedings Paper

Analysis of addition accuracy in optoelectronic matrix-vector multiplier
Author(s): Sergey B. Odinokov; Alex V. Petrov
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Paper Abstract

A mathematical model of an optoelectronic matrix-vector multiplier which can be efficiently applied to the pattern recognition problems and neural networks is described with consideration for disturbing factors which are present in a real optoelectronic system, such as noise and errors of light sources and photodetectors, ADC nonlinearity and point spread function of the optical system. Analytic formulae relating processor accuracy to the value of error probability and accuracy parameters of its processor elements as well as optical system quality are delivered. The obtained theoretical results are closely approximated with modern experimental data.

Paper Details

Date Published: 7 December 1994
PDF: 9 pages
Proc. SPIE 2430, Optical Memory & Neural Networks '94: Optical Neural Networks, (7 December 1994); doi: 10.1117/12.195612
Show Author Affiliations
Sergey B. Odinokov, N.E. Bauman Moscow State Technical Univ. (Russia)
Alex V. Petrov, N.E. Bauman 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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