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  • 标题:Stock Rate Prediction Using Backpropagation Algorithm: Results with Different Number of Hidden Layers
  • 本地全文:下载
  • 作者:Asif Ullah Khan ; Mahesh Motwani ; Sanjeev Sharma
  • 期刊名称:Journal of Software Engineering
  • 印刷版ISSN:1819-4311
  • 电子版ISSN:2152-0941
  • 出版年度:2007
  • 卷号:1
  • 期号:1
  • 页码:13-21
  • DOI:10.3923/jse.2007.13.21
  • 出版社:Academic Journals Inc., USA
  • 摘要:Much research on the applications of Neural Networks for solving business problems have proven their advantages over statistical and other methods that do not include artificial intelligence . Neural Networks methods, have become very important in making stock rate predictions (Gately and Edward, 1996). Results show that the use of neural network based backpropagation algorithm for predicting stock prices with two hidden layers are more accurate in comparison to single layer and three, four and five hidden layers.
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