期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN:2277-6451
电子版ISSN:2277-128X
出版年度:2013
卷号:3
期号:4
出版社:S.S. Mishra
摘要:Predicting anything is very hard specially if the relationship between the inputs and outputs are non-linear in nature and stock price prediction is one of such item. In this paper we have proposed a stock price prediction model using multi-layer feed forward Artificial Neural Network (ANN). In this model we have used backpropagtion algorithm . As the closing price of any stock already covers other attributes of the company, we have used historical stock prices (closing) for training the network.
关键词:Artificial Neural Network; Neurons; backpropagtion Algorithm; Transfer Function ; Network ;Performance; Mean Square Error