Neural network model and software for an information system to intelligently analyze gas quality

Эндаумент фонд ТГУ!
Впиши своё имя в историю университета
- Сделать пожертвование -

Add to "Quick Collection"

Description	Size	Format
Neural network model and software for an information system to intelligently analyze gas quality	1 MB	Adobe Acrobat PDF	Read	Download
DOI Доступ к ресурсу на сайте издателя			10.17223/19988605/69/3

Title: Neural network model and software for an information system to intelligently analyze gas quality
Creator: Farkhadov, Mais Pashaevich
|
Vaskovskii, Sergei Vladimirovich
|
Brokarev, Ivan Andreevich
Date: 2024
DOI: 10.17223/19988605/69/3
Description: 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.

Relationships: Show Relationship Browser for this Object
collection(s): Журналы ТГУ
Identifier: смотреть в электронном каталоге НБ ТГУ
Type: статьи в журналах
Source: Вестник Томского государственного университета. Управление, вычислительная техника и информатика. 2024. № 69. С. 22-30
Language: eng

Created: 22-01-2025

301 Visitors

245 Hits

60 Downloads

Журналы ТГУ Neural network model and software for an information system to intelligently analyze gas quality