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  • 标题:Estimation of the development of the Euro to Chinese Yuan exchange rate using artificial neural networks
  • 本地全文:下载
  • 作者:Marek Vochozka ; Jaromír Vrbka
  • 期刊名称:SHS Web of Conferences
  • 印刷版ISSN:2416-5182
  • 电子版ISSN:2261-2424
  • 出版年度:2019
  • 卷号:61
  • 页码:1-10
  • DOI:10.1051/shsconf/20196101030
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:The exchange rate is one of the most monitored economic variables, from the position of individual citizens or economists, financial institutions or entrepreneurs. In the long run, it is a reflection of the condition of the economy, and in the short and medium term it has a significant impact on the economy. The time series of currency development maps past developments, current status, and is also able to predict future developments. This article analyzes the time series of the development of EUR to Yuan exchange rate using artificial intelligence. It aims to evaluate this development and to indicate the prediction of the future development of EUR to Yuan.
  • 关键词:time series;analysis;exchange rate;EUR;Yuan
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