| 000 | 01776naa a2200325 c 4500 | ||
|---|---|---|---|
| 001 | koha000563798 | ||
| 005 | 20230319232707.0 | ||
| 007 | cr | | ||
| 008 | 210422s2020 xx fs 100 0 eng d | ||
| 024 | 7 |
_a10.1109/EFRE47760.2020.9241969 _2doi |
|
| 035 | _akoha000563798 | ||
| 040 |
_aRU-ToGU _brus _cRU-ToGU |
||
| 100 | 1 |
_aKashirskii, Danila E. _999096 |
|
| 245 | 1 | 0 |
_aApplication of artificial neural networks for determining the temperature and partial pressures of the components of high-temperature gaseous media _cD. E. Kashirskii |
| 336 | _aТекст | ||
| 337 | _aэлектронный | ||
| 504 | _aБиблиогр.: 7 назв. | ||
| 520 | 3 | _aThe 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 pressures of water vapor, carbon dioxide, carbon oxide and nitrogen oxide from its transmissivities. | |
| 653 | _aискусственный нейронные сети | ||
| 653 | _aкоэффициент пропускания | ||
| 653 | _aвысокотемпературная газовая среда | ||
| 653 | _aтемпература | ||
| 653 | _aпарциальное давление | ||
| 655 | 4 |
_aстатьи в сборниках _9879352 |
|
| 773 | 0 |
_t2020 7th International Congress on energy fluxes and radiation effects (EFRE 2020), Tomsk, Russia, September 14 – 26, 2020 : proceedings _d[S. l.], 2020 _gP. 1045-1047 _z9781728126852 |
|
| 852 | 4 | _aRU-ToGU | |
| 856 | 4 | _uhttp://vital.lib.tsu.ru/vital/access/manager/Repository/koha:000563798 | |
| 908 | _aстатья | ||
| 999 | _c563798 | ||