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

Результат исследований: Глава в книге, отчете, сборнике статейМатериалы конференцииНаучно-исследовательскаярецензирование

Язык оригиналаАнглийский
Название основной публикацииInternational Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018
РедакторыTheodore E. Simos, Zacharoula Kalogiratou, Theodore Monovasilis, Theodore E. Simos, Theodore E. Simos
ИздательAmerican Institute of Physics Inc.
Том2040
ISBN (электронное издание)9780735417663
DOI
СостояниеОпубликовано - 30 ноя 2018
СобытиеInternational Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018 - Thessaloniki, Греция
Продолжительность: 14 мар 201818 мар 2018

Конференция

КонференцияInternational Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018
СтранаГреция
ГородThessaloniki
Период14/03/201818/03/2018

Отпечаток

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

Ключевые слова

    Предметные области ASJC Scopus

    • Physics and Astronomy(all)

    Предметные области WoS

    • Компьютерные науки, Междисциплинарные приложения
    • Многопрофильные науки
    • Технологии, Многопрофильные

    Цитировать

    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. В T. E. Simos, Z. Kalogiratou, T. Monovasilis, T. E. Simos, & T. E. Simos (Ред.), International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018 (Том 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. редактор / Theodore E. Simos ; Zacharoula Kalogiratou ; Theodore Monovasilis ; Theodore E. Simos ; Theodore E. Simos. Том 2040 American Institute of Physics Inc., 2018.
    @inproceedings{e2621dbc4e8e4ff9a4f164383f201919,
    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",
    year = "2018",
    month = "11",
    day = "30",
    doi = "10.1063/1.5079107",
    language = "English",
    volume = "2040",
    editor = "Simos, {Theodore E.} and Zacharoula Kalogiratou and Theodore Monovasilis and Simos, {Theodore E.} and Simos, {Theodore E.}",
    booktitle = "International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018",
    publisher = "American Institute of Physics Inc.",
    address = "United States",

    }

    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. в TE Simos, Z Kalogiratou, T Monovasilis, TE Simos & TE Simos (ред.), International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018. том. 2040, 050009, American Institute of Physics Inc., International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018, Thessaloniki, Греция, 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. ред. / Theodore E. Simos; Zacharoula Kalogiratou; Theodore Monovasilis; Theodore E. Simos; Theodore E. Simos. Том 2040 American Institute of Physics Inc., 2018. 050009.

    Результат исследований: Глава в книге, отчете, сборнике статейМатериалы конференцииНаучно-исследовательскаярецензирование

    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

    KW - Artificial Neural Networks

    KW - Greenhouse Gases

    KW - Multi-Layer Perceptron

    KW - NARX

    KW - Time Series

    UR - http://www.scopus.com/inward/record.url?scp=85058642609&partnerID=8YFLogxK

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    U2 - 10.1063/1.5079107

    DO - 10.1063/1.5079107

    M3 - Conference contribution

    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

    A2 - Simos, Theodore E.

    A2 - Simos, Theodore E.

    PB - American Institute of Physics Inc.

    ER -

    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. В Simos TE, Kalogiratou Z, Monovasilis T, Simos TE, Simos TE, редакторы, International Conference of Computational Methods in Sciences and Engineering 2018, ICCMSE 2018. Том 2040. American Institute of Physics Inc. 2018. 050009 https://doi.org/10.1063/1.5079107