Prediction of the Time Series by the Various Types of Artificial Neural Networks by the Example of Different Time Intervals of the Content of Methane in the Atmosphere-Reference-Cited by-同舟云学术

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Prediction of the Time Series by the Various Types of Artificial Neural Networks by the Example of Different Time Intervals of the Content of Methane in the Atmosphere

Published:2023 Issue: Volume: Page:383-388
ISSN:2194-1009
Container-title:Springer Proceedings in Mathematics & Statistics
language:
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Author:

Butorova Anastasia^ORCID,Buevich Alexander^ORCID,Shichkin Andrey^ORCID,Sergeev Aleksandr^ORCID,Baglaeva Elena^ORCID,Sergeeva Marina^ORCID,Subbotina Irina^ORCID,Vasilev Julian^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-21484-4_34

Reference15 articles.

1. Dmitriev, A. V.: Time series prediction of morbidity using artificial neural networks. Biomedical Engineering 47(1), 43–45 (2013).

2. Stojadinovic, S.: Prediction of fly rock launch velocity using artificial neural networks. Neural Computing & Application 27, 515–524 (2016).

3. Zhang, G.: Time series forecasting using a hybrid ARIMA and neural network model. Neurocomputing 5, 159–175 (2003).

4. Russo, A., Raischel, F., Lind, P.: Air quality prediction using optimal neural networks with stochastic variables. Atmospheric Environment 79, 822–830 (2013).

5. Erdil, A., Arcaklioglu, E.: The prediction of meteorological variables using artificial neural network. Neural Computing & Application 22, 1677–1683 (2013).

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