首页    期刊浏览 2024年11月26日 星期二
登录注册

文章基本信息

  • 标题:Using Artificial Neural Network to predict the NASDAQ evolution
  • 本地全文:下载
  • 作者:Ilie Constantin ; Ilie Margareta ; Topalu Ana-Maria
  • 期刊名称:Ovidius University Annals: Economic Sciences Series
  • 电子版ISSN:2393-3127
  • 出版年度:2012
  • 卷号:12
  • 期号:1
  • 语种:English
  • 出版社:Ovidius University Press
  • 摘要:The authors present the result of a research that uses already trained and validated artificial neural networks (ANN) in order to simulate evolution of NASDAQ High values relatively to the evolution of the Nikkei 225 and the Shanghai Stock Exchange from the previous day. The development,training and testing the ANN as a predicting tool,offered good results as the maximum errors between the simulated NASDAQ values and real ones were smaller than 5%.
  • 关键词:Artificial intelligence;Artificial Neural Network (ANN);Nikkei 225;Shanghai Stock Exchange (SSE);NASDAQ.
国家哲学社会科学文献中心版权所有