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Proceedings Paper

Processing laser beam spot images using the parallel-hierarchical network for classification and forecasting their energy center coordinates
Author(s): Leonid I. Timchenko; Paweł Pijarski; Vladislav Zavadskiy; Svitlana S. Nakonechna; Nataliya I. Kokriatskaya
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Paper Abstract

The paper presents a method of forecasting the energy center position of the laser beam images using the parallel-hierarchical network. Main steps for classification and forecast of energy center coordinates of laser beam spot images are described, which allow to develop a new information technology for their classification and forecast their energy center coordinates. Predictions based on the known neural networks and on the proposed method using the parallel-hierarchical network were evaluated experimentally.

Paper Details

Date Published: 28 September 2016
PDF: 9 pages
Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 1003110 (28 September 2016); doi: 10.1117/12.2248878
Show Author Affiliations
Leonid I. Timchenko, State Univ. of Transport Economy and Technologies (Ukraine)
Paweł Pijarski, Lublin Univ. of Technology (Poland)
Vladislav Zavadskiy, Lublin Univ. of Technology (Poland)
Svitlana S. Nakonechna, State Univ. of Transport Economy and Technologies (Ukraine)
Nataliya I. Kokriatskaya, State Univ. of Transport Economy and Technologies (Ukraine)


Published in SPIE Proceedings Vol. 10031:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016
Ryszard S. Romaniuk, Editor(s)

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