Prediction the dynamic of changes in the concentrations of main greenhouse gases by an artificial neural network type NARX

Abstract

The paper considered the use of one of the most accurate artificial neural networks for predicting time seriesa 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.

Issues in the Disclosure of Financial Information by Multinational Enterprises

“…EDIFACT is a standard which describes several documents in electronic format, including invoices. EDI is a well-known and widely adapted technology for electronic data interchange (e.g., in [27], [28] and [29]). The adaption of using structured messages (EDIFACT invoices) needs changes in ERP systems (e.g., in [30], [31], [32]).…”