Application of artificial neural networks for determining the temperature and partial pressures of the components of high-temperature gaseous media
The paper deals with the development of methods for solving the inverse problem of gaseous media optics by determining the parameters of high-temperature gaseous media from its spectral characteristics. It is proposed to use artificial neural networks to determine the temperature and partial pressur...
| Published in: | 2020 7th International Congress on energy fluxes and radiation effects (EFRE 2020), Tomsk, Russia, September 14 - 26, 2020 : proceedings P. 1045-1047 |
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| Main Author: | |
| Format: | Book Chapter |
| Language: | English |
| Subjects: | |
| Online Access: | http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:000563798 Перейти в каталог НБ ТГУ |