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8 June 2005 Effective learning algorithm for a neural-like opto-electronic tomographical system
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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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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