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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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Source: Journal of Quantitative Spectroscopy and Radiative Transfer. 2019. Vol. 235. С. 49-59
Type: статьи в журналах
Date: 2019
Description:
In this work we present a simple method for simultaneous determining the temperature and partial pressures of gases in the gaseous mixture using its transmissivity as input data. The method is focused
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