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Proceedings Paper

Principles of organization of neural-like system on the basis of a matrix of photoelectric cells
Author(s): Igor V. Denisov; Yuri N. Kulchin; Valentin F. Obuh; Oleg T. Kamenev
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Paper Abstract

The main advantages of neural networks are the flexibility of architecture and ability to training. These advantages allow using neural networks for solving many difficult problems. One of them is the processing of data collected by fiber-optical measuring systems. The principles of organization of optical neural-like system for analog data processing are represented. The practical realization of this system on a matrix of photoelectric cells allows to obtain a parallel processing of an optical information for physical field distribution reconstruction.

Paper Details

Date Published: 8 August 2001
PDF: 6 pages
Proc. SPIE 4513, Optoelectronic Information Systems and Processing, (8 August 2001); doi: 10.1117/12.435900
Show Author Affiliations
Igor V. Denisov, Far Eastern State Marine Academy (Russia)
Yuri N. Kulchin, Far Eastern State Technical Univ. (Russia)
Valentin F. Obuh, Far Eastern State Technical Univ. (Russia)
Oleg T. Kamenev, Far Eastern State Technical Univ. (Russia)

Published in SPIE Proceedings Vol. 4513:
Optoelectronic Information Systems and Processing
Yuri N. Kulchin; Oleg B. Vitrik, Editor(s)

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