Neural network model and software for an information system to intelligently analyze gas quality
The problem of analyzing the quality of natural gas is solved by traditional methods of gas chromatography. The article proposes an alternative approach using neural networks. An automated information system to determine energy parameters of natural gas and its operation were studied. The system tes...
| Published in: | Вестник Томского государственного университета. Управление, вычислительная техника и информатика № 69. С. 22-30 |
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| Main Author: | |
| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Online Access: | http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001150728 Перейти в каталог НБ ТГУ |
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| 024 | 7 | |a 10.17223/19988605/69/3 |2 doi | |
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| 040 | |a RU-ToGU |b rus |c RU-ToGU | ||
| 100 | 1 | |a Farkhadov, Mais Pashaevich |9 759652 | |
| 245 | 1 | 0 | |a Neural network model and software for an information system to intelligently analyze gas quality |c M. P. Farkhadov, S. V. Vaskovskii, I. A. Brokarev |
| 246 | 1 | 1 | |a Нейросетевая модель и программное обеспечение для информационной системы интеллектуального анализа качества газа |
| 336 | |a Текст | ||
| 337 | |a электронный | ||
| 504 | |a Библиогр.: 15 назв. | ||
| 520 | 3 | |a The problem of analyzing the quality of natural gas is solved by traditional methods of gas chromatography. The article proposes an alternative approach using neural networks. An automated information system to determine energy parameters of natural gas and its operation were studied. The system testing was conducted on experimental data obtained from real gas mixtures in laboratory conditions. The gas quality indicators were calculated and the conclusion about system applicability was drawn. The developed mathematics and software allow to provide high performance for the information system in important cases where gas properties can change quickly and constant monitoring is required. Based on experimental results, an algorithmic solution was proposed for natural gas quality analysis, that allows to obtain necessary data with lower time and financial costs. | |
| 653 | |a анализ качества природного газа | ||
| 653 | |a оценка точности системы анализа | ||
| 653 | |a автоматизированные информационные системы | ||
| 655 | 4 | |a статьи в журналах |9 984188 | |
| 700 | 1 | |a Vaskovskii, Sergei Vladimirovich |9 759653 | |
| 700 | 1 | |a Brokarev, Ivan Andreevich |9 759650 | |
| 773 | 0 | |t Вестник Томского государственного университета. Управление, вычислительная техника и информатика |d 2024 |g № 69. С. 22-30 |x 1998-8605 |w 0210-40860 | |
| 852 | 4 | |a RU-ToGU | |
| 856 | 4 | |u http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001150728 | |
| 856 | |y Перейти в каталог НБ ТГУ |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1150728 | ||
| 908 | |a статья | ||
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