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Please use this identifier to cite or link to this item: http://dspace.bsu.edu.ru/handle/123456789/63522
Title: Neural network analysis of the productivity of biogas plants for small agricultural enterprises
Authors: Klyosov, D.
Lomazov, V.
Miroshnichenko, I.
Lomazov, A.
Keywords: agriculture
agricultural mechanization
biogas plants
agricultural enterprises
chemical composition
Sugeno algorithm
Issue Date: 2024
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.
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
URI: http://dspace.bsu.edu.ru/handle/123456789/63522
Appears in Collections:Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)

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