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Source: 7th International congress on energy fluxes and radiation effects (EFRE-2020 online), September 14–25, 2020, Tomsk, Russia : abstracts. Tomsk, 2020. P. 499
Type: статьи в сборниках
Date: 2020
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
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