| DC Field | Value | Language |
|---|
| dc.contributor.author | Klyosov, D. | - |
| dc.contributor.author | Lomazov, V. | - |
| dc.contributor.author | Miroshnichenko, I. | - |
| dc.contributor.author | Lomazov, A. | - |
| dc.date.accessioned | 2024-08-29T08:12:49Z | - |
| dc.date.available | 2024-08-29T08:12:49Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.citation | Neural network analysis of the productivity of biogas plants for small agricultural enterprises / D. Klyosov, V. Lomazov, I. Miroshnichenko, A. Lomazov // E3S Web of Conferences. - 2024. - Vol.524.- Art. 01013. - (VII International Conference on Actual Problems of the Energy Complex and Environmental Protection (APEC-VII-2024), Karshi, Uzbekistan, January 22-24, 2024 / eds. G. Uzakov ). - Doi: 10.1051/e3sconf/202452401013. | ru |
| dc.identifier.uri | http://dspace.bsu.edu.ru/handle/123456789/63522 | - |
| dc.description.abstract | The article is devoted to the problem of assessing the productivity of biogas plants. The aim of the work is to build intelligent tools for evaluating the performance of biogas plants by determining the output of biogas depending on the properties of raw materials based on the fuzzy inference method according to the Sugeno algorithm | ru |
| dc.language.iso | en | ru |
| dc.subject | agriculture | ru |
| dc.subject | agricultural mechanization | ru |
| dc.subject | biogas plants | ru |
| dc.subject | agricultural enterprises | ru |
| dc.subject | chemical composition | ru |
| dc.subject | Sugeno algorithm | ru |
| dc.title | Neural network analysis of the productivity of biogas plants for small agricultural enterprises | ru |
| dc.type | Article | ru |
| Appears in Collections: | Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)
|
