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Time Series Forecasting Based on Hybrid Neural Networks and Multiple Regression

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Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 450))

Abstract

This paper presents research in the field of hybrid methods of time series forecasting, including a detailed review of the latest researches in the field of forecasting. The paper includes detailed review of studies what compared the performance of multiple regression methods and neural networks. It is also consider a hybrid method of time series prediction based on ANFIS. In addition, showed the results of time series forecasting based on ANFIS model and compared with results of forecasting based on multiple regression.

This work was supported by the Russian Foundation for Basic Research (Grant No. 14-07-00603).

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Author information

Authors and Affiliations

  1. Dorodnicyn Computing Centre of RAS, Moscow, Russia

    Alexey Averkin

  2. Dubna State University, Moscow Oblast, Russia

    Sergey Yarushev

  3. Rostov State Transport University, Rostov-on-Don, Russia

    Igor Dolgy & Andrey Sukhanov

  4. VŠB—Technical University of Ostrava, Ostrava, Czech Republic

    Andrey Sukhanov

Authors
  1. Alexey Averkin
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  2. Sergey Yarushev
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  3. Igor Dolgy
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  4. Andrey Sukhanov
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Corresponding author

Correspondence to Alexey Averkin .

Editor information

Editors and Affiliations

  1. Sci N/w for Innova and Research Exc, Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Rostov State Transport University, Rostov-on-Don, Russia

    Sergey Kovalev

  3. Bauman Moscow State Technical University, Moscow, Russia

    Valery Tarassov

  4. Institute of Mathematics, VŠB-Technical University of Ostrava, Ostrava, Czech Republic

    Václav Snášel

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© 2016 Springer International Publishing Switzerland

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Averkin, A., Yarushev, S., Dolgy, I., Sukhanov, A. (2016). Time Series Forecasting Based on Hybrid Neural Networks and Multiple Regression. In: Abraham, A., Kovalev, S., Tarassov, V., Snášel, V. (eds) Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16). Advances in Intelligent Systems and Computing, vol 450. Springer, Cham. https://doi.org/10.1007/978-3-319-33609-1_10

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  • DOI: https://doi.org/10.1007/978-3-319-33609-1_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33608-4

  • Online ISBN: 978-3-319-33609-1

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