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.

引用

页数：4

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