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Proceedings Paper

Effective learning algorithm for a neural-like opto-electronic tomographical system
Author(s): O. T. Kamenev; Yu. N. Kulchin; A. V. Panov; Yu. S. Petrov
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Paper Abstract

In this paper we report the results of the working out the fiber-optic measuring system. The fiber-optic measuring lines consisting from sensors are described. The reference piezoelectric modulator is used for the control of the workin gpoint of the measuring line. The tomographical problem arising in data processing is solved by the neural network. An efficient algorithm for neural network training is presented.

Paper Details

Date Published: 8 June 2005
PDF: 9 pages
Proc. SPIE 5851, Fundamental Problems of Optoelectronics and Microelectronics II, (8 June 2005); doi: 10.1117/12.634048
Show Author Affiliations
O. T. Kamenev, Far Eastern State Technical Univ. (Russia)
Institute for Automation and Control Processes (Russia)
Yu. N. Kulchin, Far Eastern State Technical Univ. (Russia)
Institute for Automation and Control Processes (Russia)
A. V. Panov, Institute for Automation and Control Processes (Russia)
Yu. S. Petrov, Institute for Automation and Control Processes (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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