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  • 标题:Estimation of the development of Czech Koruna to Chinese Yuan exchange rate using artificial neural networks
  • 本地全文:下载
  • 作者:Veronika Machová ; Jan Mareček
  • 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/20196101012
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Through time series analysis, it is possible to obtain significant statistics and other necessary data characteristics. Prediction of time series allows predicting future values based on previously observed values. The exact prognosis of the time series is very important for a number of different areas, such as transport, energy, finance, economics, etc. It is within the topic of economy that the analysis and prediction of time series can also be used for exchange rates. The exchange rate itself can greatly affect the whole foreign trade. The aim of this article is therefore to analyze the exchange rate development of two currencies by analyzing time series through artificial neural networks. Experimental results show that neural networks are potentially usable and effective for exchange rate prediction.
  • 关键词:artificial neural networks;exchange rate;time series;prediction;Czech crown;Yuan
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