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Proceedings Paper

Neural processing system for optical informational measuring systems
Author(s): Yuri N. Kulchin; Oleg T. Kamenev; Igor V. Denisov
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Paper Abstract

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. We offered universal neural-like system for optical data processing in optical measuring system.

Paper Details

Date Published: 23 February 2001
PDF: 9 pages
Proc. SPIE 4357, Distributed Fiber Optical Sensors and Measuring Networks, (23 February 2001); doi: 10.1117/12.417875
Show Author Affiliations
Yuri N. Kulchin, Far Eastern State Technical Univ. (Russia)
Oleg T. Kamenev, Far Eastern State Technical Univ. (Russia)
Igor V. Denisov, Far Eastern State Technical Univ. (Russia)


Published in SPIE Proceedings Vol. 4357:
Distributed Fiber Optical Sensors and Measuring Networks
Yuri N. Kulchin, Editor(s)

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