Processing laser beam spot images using the parallel-hierarchical network for classification and forecasting their energy center coordinates

Leonid I. Timchenko; Paweł Pijarski; Vladislav Zavadskiy; Svitlana S. Nakonechna; Nataliya I. Kokriatskaya

doi:10.1117/12.2248878

28 September 2016 Processing laser beam spot images using the parallel-hierarchical network for classification and forecasting their energy center coordinates

Leonid I. Timchenko, Paweł Pijarski, Vladislav Zavadskiy, Svitlana S. Nakonechna, Nataliya I. Kokriatskaya

Author Affiliations +

Proceedings Volume 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016; 1003110 (2016) https://doi.org/10.1117/12.2248878
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 2016, Wilga, Poland

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.

Citation Download Citation

Leonid I. Timchenko, Paweł Pijarski, Vladislav Zavadskiy, Svitlana S. Nakonechna, and Nataliya I. Kokriatskaya "Processing laser beam spot images using the parallel-hierarchical network for classification and forecasting their energy center coordinates", Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 1003110 (28 September 2016); https://doi.org/10.1117/12.2248878

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