Электронная библиотека (репозиторий) Томского государственного университета
Kashirskii, Danila E.

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Add   Application of artificial neural networks for determining the temperature and partial pressures of the components of high-temperature gaseous media
Authors: Kashirskii, Danila E.
Source: 2020 7th International Congress on energy fluxes and radiation effects (EFRE 2020), Tomsk, Russia, September 14 – 26, 2020 : proceedings. [S. l.], 2020. P. 1045-1047
Type: статьи в сборниках
Date: 2020
Description: The paper deals with the development of methods for solving the inverse problem of gaseous media optics by determining the parameters of high-temperature gaseous media from its spectral characteristic ... More
Add   Approximation of inverse models for temperature-concentration dependences of the transmission function of a single-component homogeneous gas medium by artificial neural networks
Authors: Kashirskii, Danila E. | Voitsekhovskaya, Olga K.
Source: Russian physics journal. 2019. Vol. 61, № 11. P. 2065-2072
Type: статьи в журналах
Date: 2019
Description: The problem of application of artificial neural networks for approximation of inverse models of temperature-concentration dependences of the transmission function of a single-component homogeneous gas ... More
Add   The optical method for determining the thermodynamic parameters of hot gases
Authors: Voitsekhovskaya, Olga K. | Kashirskii, Danila E. | Tsvyk, R. Sh. | Sazanovich, V. M. | Sherstobitov, M. V. | Egorov, Oleg V.
Source: Journal of Quantitative Spectroscopy and Radiative Transfer. 2014. Vol. 147. P. 38-46
Type: статьи в журналах
Date: 2014
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