Gas mixtures IR absorption spectra decomposition using a deep neural network

An approach to multicomponent gas mixtures IR absorption spectra decomposition using a deep neu- ral network was developed. The process of refinement and optimization of the absorption spectra data model to improve the accuracy of the inverse spectroscopic task solution is described. A criterion for...

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Опубликовано в: :Journal of Quantitative Spectroscopy and Radiative Transfer Vol. 301. P. 108521 (1-10)
Другие авторы: Prischepa, Vladimir V., Skiba, V. E., Vrazhnov, Denis A., Kistenev, Yury V.
Формат: Статья в журнале
Язык:English
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Online-ссылка:http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001016660