Neural-like optoelectronic processing system

Nelly A. Rybalchenko; Igor V. Denisov; Viktor A. Sedov; Ilya K. Vernigora

doi:10.1117/12.726460

5 March 2007 Neural-like optoelectronic processing system

Nelly A. Rybalchenko, Igor V. Denisov, Viktor A. Sedov, Ilya K. Vernigora

Proceedings Volume 6595, Fundamental Problems of Optoelectronics and Microelectronics III; 65952A (2007) https://doi.org/10.1117/12.726460
Event: Fundamental Problems of Optoelectronics and Microelectronics III, 2006, Harbin, China

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.

Citation Download Citation

Nelly A. Rybalchenko, Igor V. Denisov, Viktor A. Sedov, and Ilya K. Vernigora "Neural-like optoelectronic processing system", Proc. SPIE 6595, Fundamental Problems of Optoelectronics and Microelectronics III, 65952A (5 March 2007); https://doi.org/10.1117/12.726460

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