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Proceedings Paper

Architecture of the neural-like photosensitive system for solution of the fiber-optic tomography problem
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Paper Abstract

In the given article the method of optical information gathering form 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 netowrk. 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: 8 June 2005
PDF: 4 pages
Proc. SPIE 5851, Fundamental Problems of Optoelectronics and Microelectronics II, (8 June 2005); doi: 10.1117/12.634372
Show Author Affiliations
Yuri N. Kulchin, Far Eastern Branch of Russian Academy of Science (Russia)
Igor V. Denisov, Institute for Automation and Control Processes (Russia)
Victor A. Sedov, Maritime State Univ. (Russia)
Nelly A. Rybalchenko, Maritime State Univ. (Russia)

Published in SPIE Proceedings Vol. 5851:
Fundamental Problems of Optoelectronics and Microelectronics II
Yuri N. Kulchin; Oleg B. Vitrik; Vladimir I. Stroganov, Editor(s)

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