1. Электронный научный архив УрФУ
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  3. Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC
Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/101673
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dc.contributor.authorSergeev, A.en
dc.contributor.authorBuevich, A.en
dc.contributor.authorShichkin, A.en
dc.contributor.authorBaglaeva, E.en
dc.contributor.authorSubbotina, I.en
dc.contributor.authorMedvedev, A.en
dc.contributor.authorSergeeva, M.en
dc.date.accessioned2021-08-31T14:58:51Z-
dc.date.available2021-08-31T14:58:51Z-
dc.date.issued2020-
dc.identifier.citationPrediction the dynamic of changes in the concentrations of main greenhouse gases by an artificial neural network type NARX / A. Sergeev, A. Buevich, A. Shichkin, et al. — DOI 10.1063/5.0027183 // AIP Conference Proceedings. — 2020. — Vol. 2293. — 120020.en
dc.identifier.isbn9780735440258-
dc.identifier.issn0094243X-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Bronze3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85097977145&doi=10.1063%2f5.0027183&partnerID=40&md5=d424af5c09281e987d1fa80545baf188
dc.identifier.urihttp://elar.urfu.ru/handle/10995/101673-
dc.description.abstractThe paper considered the use of one of the most accurate artificial neural networks for predicting time series - a nonlinear autoregressive neural network with external input (NARX) for predicting the dynamics of changes in the concentrations of the main greenhouse gases. The data were obtained in the course of monitoring the dynamics of changes in the main greenhouse gases on the Arctic island Belyy, Russia. The data of the surface concentration of methane, carbon dioxide, carbon monoxide and water vapor were used. A time interval of 168 hours was chosen for the study during the summer period (July-August 2016). The NARX model accurately predicted concentration changes for all greenhouse gases. © 2020 American Institute of Physics Inc.. All rights reserved.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherAmerican Institute of Physics Inc.en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceAIP Conf. Proc.2
dc.sourceAIP Conference Proceedingsen
dc.titlePrediction the dynamic of changes in the concentrations of main greenhouse gases by an artificial neural network type NARXen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1063/5.0027183-
dc.identifier.scopus85097977145-
local.contributor.employeeSergeev, A., Ural Federal University, Mira str., 19, Ekaterinburg, 620002, Russian Federation, Institute of Industrial Ecology, UB, RAS, S. Kovalevskoy str., 20, Ekaterinburg, 620990, Russian Federation
local.contributor.employeeBuevich, A., Ural Federal University, Mira str., 19, Ekaterinburg, 620002, Russian Federation, Institute of Industrial Ecology, UB, RAS, S. Kovalevskoy str., 20, Ekaterinburg, 620990, Russian Federation
local.contributor.employeeShichkin, A., Ural Federal University, Mira str., 19, Ekaterinburg, 620002, Russian Federation, Institute of Industrial Ecology, UB, RAS, S. Kovalevskoy str., 20, Ekaterinburg, 620990, Russian Federation
local.contributor.employeeBaglaeva, E., Ural Federal University, Mira str., 19, Ekaterinburg, 620002, Russian Federation, Institute of Industrial Ecology, UB, RAS, S. Kovalevskoy str., 20, Ekaterinburg, 620990, Russian Federation
local.contributor.employeeSubbotina, I., Institute of Industrial Ecology, UB, RAS, S. Kovalevskoy str., 20, Ekaterinburg, 620990, Russian Federation
local.contributor.employeeMedvedev, A., Ural Federal University, Mira str., 19, Ekaterinburg, 620002, Russian Federation, Institute of Industrial Ecology, UB, RAS, S. Kovalevskoy str., 20, Ekaterinburg, 620990, Russian Federation
local.contributor.employeeSergeeva, M., Institute of Industrial Ecology, UB, RAS, S. Kovalevskoy str., 20, Ekaterinburg, 620990, Russian Federation
local.volume2293-
local.contributor.departmentUral Federal University, Mira str., 19, Ekaterinburg, 620002, Russian Federation
local.contributor.departmentInstitute of Industrial Ecology, UB, RAS, S. Kovalevskoy str., 20, Ekaterinburg, 620990, Russian Federation
local.identifier.pure20396488-
local.identifier.pureed987641-704e-46f1-9515-4f34b5be571cuuid
local.description.order120020-
local.identifier.eid2-s2.0-85097977145-
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