Principles of organization of neural-like system on the basis of a matrix of photoelectric cells

Igor V. Denisov; Yuri N. Kulchin; Valentin F. Obuh; Oleg T. Kamenev

doi:10.1117/12.435900

8 August 2001 Principles of organization of neural-like system on the basis of a matrix of photoelectric cells

Igor V. Denisov, Yuri N. Kulchin, Valentin F. Obuh, Oleg T. Kamenev

Proceedings Volume 4513, Optoelectronic Information Systems and Processing; (2001) https://doi.org/10.1117/12.435900
Event: Optoelectronic Information Systems and Processing, 2000, Vladivostok, Russian Federation

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.

Citation Download Citation

Igor V. Denisov, Yuri N. Kulchin, Valentin F. Obuh, and Oleg T. Kamenev "Principles of organization of neural-like system on the basis of a matrix of photoelectric cells", Proc. SPIE 4513, Optoelectronic Information Systems and Processing, (8 August 2001); https://doi.org/10.1117/12.435900

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