Back to Search
Start Over
Prediction the Dynamic of Changes in the Concentrations of Main Greenhouse Gases by an Artificial Neural Network Type NARX.
- Source :
-
AIP Conference Proceedings . 2020, Vol. 2293 Issue 1, p120020-1-120020-4. 4p. - Publication Year :
- 2020
-
Abstract
- The paper considered the use of one of the most accurate artificial neural networks for predicting time series - a nonlinear autoregressive neural network with external input (NARX) for predicting the dynamics of changes in the concentrations of the main greenhouse gases. The data were obtained in the course of monitoring the dynamics of changes in the main greenhouse gases on the Arctic island Belyy, Russia. The data of the surface concentration of methane, carbon dioxide, carbon monoxide and water vapor were used. A time interval of 168 hours was chosen for the study during the summer period (July-August 2016). The NARX model accurately predicted concentration changes for all greenhouse gases. [ABSTRACT FROM AUTHOR]
- Subjects :
- *GREENHOUSE gases
*FORECASTING
*CARBON monoxide
*CARBON dioxide
*WATER vapor
Subjects
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 2293
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 147451499
- Full Text :
- https://doi.org/10.1063/5.0027183