Effective learning algorithm for a neural-like opto-electronic tomographical system

O. T. Kamenev; Yu. N. Kulchin; A. V. Panov; Yu. S. Petrov

doi:10.1117/12.634048

8 June 2005 Effective learning algorithm for a neural-like opto-electronic tomographical system

O. T. Kamenev, Yu. N. Kulchin, A. V. Panov, Yu. S. Petrov

Proceedings Volume 5851, Fundamental Problems of Optoelectronics and Microelectronics II; (2005) https://doi.org/10.1117/12.634048
Event: Fundamental Problems of Optoelectronics and Microelectronics II, 2004, Khabrovsk, Russian Federation

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.

Citation Download Citation

O. T. Kamenev, Yu. N. Kulchin, A. V. Panov, and Yu. S. Petrov "Effective learning algorithm for a neural-like opto-electronic tomographical system", Proc. SPIE 5851, Fundamental Problems of Optoelectronics and Microelectronics II, (8 June 2005); https://doi.org/10.1117/12.634048

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