Analysis of Time Series of Greenhouse Gas Concentrations in the Russian Arctic Using the Artificial Neural Networks

被引：0
|
作者：
Shichkin, Andrey [1 ,2 ]
Buevich, Alexander [1 ,2 ]
Sergeev, Alexander [1 ,2 ]
Antonov, Konstantin [2 ]
Sergeeva, Marina [2 ]
机构：
[1] Ural Fed Univ, Mira Str 19, Ekaterinburg 620002, Russia
[2] RAS, UB, Inst Ind Ecol, S Kovalevskoy Str 20, Ekaterinburg 620990, Russia
来源：
INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2018 (ICCMSE-2018) | 2018年 / 2040卷
关键词：
Artificial Neural Networks; Greenhouse Gases; Time Series; Multi-Layer Perceptron; NARX;
D O I：
10.1063/1.5079107
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The work is devoted to the forecasting of the time series by artificial neural networks (ANNs). The data were obtained as a result of the monitoring of greenhouse gases on Belyi Island, Yamalo-Nenetsky AO, Russia. For prediction, a model based on a Nonlinear Autoregressive Neural Network with an External Input (NARX) and Multi-Layer Perceptron (MLP) was used. Based on the concentrations of greenhouse gas methane, a forecast for a certain time interval was done, and a time horizon was established for the forecasting. The model based on the ANN type NARX showed the best results.
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页数：4
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