Application of artificial neural networks for determining the temperature and partial pressures of the components of high-temperature gaseous media

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Application of artificial neural networks for determining the temperature and partial pressures of the components of high-temperature gaseous media	520 KB	Adobe Acrobat PDF	Read	Download

#высокотемпературная газовая среда

#искусственные нейронные сети

#парциальное давление

Title: Application of artificial neural networks for determining the temperature and partial pressures of the components of high-temperature gaseous media
Creator: Kashirskii, Danila E.
Date: 2020

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collection(s): Радиофизический факультет
Identifier: смотреть в электронном каталоге НБ ТГУ
Type: статьи в сборниках
Source: 7th International congress on energy fluxes and radiation effects (EFRE-2020 online), September 14–25, 2020, Tomsk, Russia : abstracts. Tomsk, 2020. P. 499
Language: eng

Created: 16-11-2022

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Радиофизический факультет Application of artificial neural networks for determining the temperature and partial pressures of the components of high-temperature gaseous media