Analysis of time series of greenhouse gas concentrations in the Russian Arctic using the artificial neural networks

Andrey Shichkin, Alexander Buevich, Alexander Sergeev, Konstantin Antonov, Marina Sergeeva

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Original languageEnglish
Title of host publicationInternational Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018
EditorsTheodore E. Simos, Zacharoula Kalogiratou, Theodore Monovasilis, Theodore E. Simos, Theodore E. Simos
PublisherAmerican Institute of Physics Inc.
Volume2040
ISBN (Electronic)9780735417663
DOIs
Publication statusPublished - 30 Nov 2018
EventInternational Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018 - Thessaloniki, Greece
Duration: 14 Mar 201818 Mar 2018

Conference

ConferenceInternational Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018
CountryGreece
CityThessaloniki
Period14/03/201818/03/2018

Fingerprint

greenhouses
forecasting
gases
self organizing systems
Russian Federation
horizon
methane
intervals
predictions

Keywords

  • Artificial Neural Networks
  • Greenhouse Gases
  • Multi-Layer Perceptron
  • NARX
  • Time Series

ASJC Scopus subject areas

  • Physics and Astronomy(all)

WoS ResearchAreas Categories

  • Computer Science, Interdisciplinary Applications
  • Multidisciplinary Sciences
  • Engineering, Multidisciplinary

Cite this

Shichkin, A., Buevich, A., Sergeev, A., Antonov, K., & Sergeeva, M. (2018). Analysis of time series of greenhouse gas concentrations in the Russian Arctic using the artificial neural networks. In T. E. Simos, Z. Kalogiratou, T. Monovasilis, T. E. Simos, & T. E. Simos (Eds.), International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018 (Vol. 2040). [050009] American Institute of Physics Inc.. https://doi.org/10.1063/1.5079107
Shichkin, Andrey ; Buevich, Alexander ; Sergeev, Alexander ; Antonov, Konstantin ; Sergeeva, Marina. / Analysis of time series of greenhouse gas concentrations in the Russian Arctic using the artificial neural networks. International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018. editor / Theodore E. Simos ; Zacharoula Kalogiratou ; Theodore Monovasilis ; Theodore E. Simos ; Theodore E. Simos. Vol. 2040 American Institute of Physics Inc., 2018.
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title = "Analysis of time series of greenhouse gas concentrations in the Russian Arctic using the artificial neural networks",
keywords = "Artificial Neural Networks, Greenhouse Gases, Multi-Layer Perceptron, NARX, Time Series",
author = "Andrey Shichkin and Alexander Buevich and Alexander Sergeev and Konstantin Antonov and Marina Sergeeva",
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month = "11",
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booktitle = "International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018",
publisher = "American Institute of Physics Inc.",
address = "United States",

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Shichkin, A, Buevich, A, Sergeev, A, Antonov, K & Sergeeva, M 2018, Analysis of time series of greenhouse gas concentrations in the Russian Arctic using the artificial neural networks. in TE Simos, Z Kalogiratou, T Monovasilis, TE Simos & TE Simos (eds), International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018. vol. 2040, 050009, American Institute of Physics Inc., International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018, Thessaloniki, Greece, 14/03/2018. https://doi.org/10.1063/1.5079107

Analysis of time series of greenhouse gas concentrations in the Russian Arctic using the artificial neural networks. / Shichkin, Andrey; Buevich, Alexander; Sergeev, Alexander; Antonov, Konstantin; Sergeeva, Marina.

International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018. ed. / Theodore E. Simos; Zacharoula Kalogiratou; Theodore Monovasilis; Theodore E. Simos; Theodore E. Simos. Vol. 2040 American Institute of Physics Inc., 2018. 050009.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

TY - GEN

T1 - Analysis of time series of greenhouse gas concentrations in the Russian Arctic using the artificial neural networks

AU - Shichkin, Andrey

AU - Buevich, Alexander

AU - Sergeev, Alexander

AU - Antonov, Konstantin

AU - Sergeeva, Marina

PY - 2018/11/30

Y1 - 2018/11/30

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KW - Greenhouse Gases

KW - Multi-Layer Perceptron

KW - NARX

KW - Time Series

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VL - 2040

BT - International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018

A2 - Simos, Theodore E.

A2 - Kalogiratou, Zacharoula

A2 - Monovasilis, Theodore

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PB - American Institute of Physics Inc.

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Shichkin A, Buevich A, Sergeev A, Antonov K, Sergeeva M. Analysis of time series of greenhouse gas concentrations in the Russian Arctic using the artificial neural networks. In Simos TE, Kalogiratou Z, Monovasilis T, Simos TE, Simos TE, editors, International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018. Vol. 2040. American Institute of Physics Inc. 2018. 050009 https://doi.org/10.1063/1.5079107