Paper
7 December 1994 Analysis of addition accuracy in optoelectronic matrix-vector multiplier
Sergey B. Odinokov, Alex V. Petrov
Author Affiliations +
Proceedings Volume 2430, Optical Memory & Neural Networks '94: Optical Neural Networks; (1994) https://doi.org/10.1117/12.195612
Event: Optical Memory and Neural Networks: International Conference, 1994, Moscow, Russian Federation
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sergey B. Odinokov and Alex V. Petrov "Analysis of addition accuracy in optoelectronic matrix-vector multiplier", Proc. SPIE 2430, Optical Memory & Neural Networks '94: Optical Neural Networks, (7 December 1994); https://doi.org/10.1117/12.195612
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KEYWORDS
Error analysis

Optoelectronics

Neural networks

Optical components

Point spread functions

Analog electronics

Mathematical modeling

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