Application of machine learning algorithms and laser absorption spectroscopy to solve the problem of determining components with a low concentration in multicomponent gas mixtures

Prischepa, V. V.; Skiba, V. E.; Vrazhnov, Denis A.

Application of machine learning algorithms and laser absorption spectroscopy to solve the problem of determining components with a low concentration in multicomponent gas mixtures

Prischepa, V. V., Skiba, V. E., Vrazhnov, Denis A.

Дата публикации: 2021

Дата публикации в реестре: 2022-10-06T22:40:03Z

Ключевые слова:
машинное обучение, лазерная спектроскопия, многокомпонентные газовые смеси

Тип: статьи в сборниках

Источник: Pulsed lasers and laser applications AMPL-2021 : the 15th International conference, September 12-17, 2021, Tomsk, Russia : abstracts. Tomsk, 2021. P. 121-122

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Application of machine learning algorithms and laser absorption spectroscopy to solve the problem of determining components with a low concentration in multicomponent gas mixtures

Application of machine learning algorithms and laser absorption spectroscopy to solve the problem of determining components with a low concentration in multicomponent gas mixtures

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