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Proceedings Paper

Neural-like optoelectronic processing system
Author(s): Nelly A. Rybalchenko; Igor V. Denisov; Viktor A. Sedov; Ilya K. Vernigora
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Paper Abstract

In the given article the method of optical information gathering from the fiber-optical measuring network with its subsequent processing is offered. In this method the algorithms of neural-like networks in computation process is introduced. Each sensitive area of the fiber-optical measuring line is associated with the own amplifier. Adjustment of amplifiers gain factors carries out modification of the weighting coefficients of the matrix of connections of the neural network. The training principles to external physical influences are represented. The selection of the type of the neural network for decision of the fiber-optical tomography problem of spatial distribution reconstruction has been considered.

Paper Details

Date Published: 5 March 2007
PDF: 10 pages
Proc. SPIE 6595, Fundamental Problems of Optoelectronics and Microelectronics III, 65952A (5 March 2007); doi: 10.1117/12.726460
Show Author Affiliations
Nelly A. Rybalchenko, Maritime State Univ. (Russia)
Igor V. Denisov, Maritime State Univ. (Russia)
Viktor A. Sedov, Maritime State Univ. (Russia)
Ilya K. Vernigora, Maritime State Univ. (Russia)

Published in SPIE Proceedings Vol. 6595:
Fundamental Problems of Optoelectronics and Microelectronics III
Yuri N. Kulchin; Jinping Ou; Oleg B. Vitrik; Zhi Zhou, Editor(s)

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