Approximation of inverse models for temperature-concentration dependences of the transmission function of a single-component homogeneous gas medium by artificial neural networks

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 medium is considered on the example of carbon monoxide. The gas transmission function is calculated...

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Библиографическая информация
Опубликовано в: :Russian physics journal Vol. 61, № 11. P. 2065-2072
Главный автор: Kashirskii, Danila E.
Другие авторы: Voitsekhovskaya, Olga K.
Формат: Статья в журнале
Язык:English
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Online-ссылка:http://vital.lib.tsu.ru/vital/access/manager/Repository/vtls:000707750
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