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

Yuri N. Kulchin; Igor V. Denisov; Victor A. Sedov; Nelly A. Rybalchenko

doi:10.1117/12.634372

8 June 2005 Architecture of the neural-like photosensitive system for solution of the fiber-optic tomography problem

Yuri N. Kulchin, Igor V. Denisov, Victor A. Sedov, Nelly A. Rybalchenko

Proceedings Volume 5851, Fundamental Problems of Optoelectronics and Microelectronics II; (2005) https://doi.org/10.1117/12.634372
Event: Fundamental Problems of Optoelectronics and Microelectronics II, 2004, Khabrovsk, Russian Federation

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.

Citation Download Citation

Yuri N. Kulchin, Igor V. Denisov, Victor A. Sedov, and Nelly A. Rybalchenko "Architecture of the neural-like photosensitive system for solution of the fiber-optic tomography problem", Proc. SPIE 5851, Fundamental Problems of Optoelectronics and Microelectronics II, (8 June 2005); https://doi.org/10.1117/12.634372

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