Corpus ID: 18492937

Parameters for Stock Market Prediction

@inproceedings{Nguyen2013ParametersFS,
  title={Parameters for Stock Market Prediction},
  author={N'guyen and J. Lu and K. Dang and Khoa and Kazutoshi Sakakibara},
  year={2013}
}
  • N'guyen, J. Lu, +2 authors Kazutoshi Sakakibara
  • Published 2013
  • Computer Science
  • In recent years researchers have developed a lot of interest in stock market prediction because of its dynamic & unpredictable nature. Although there were lots of methods of prediction none of them is prove to produce satisfactory results. Machine learning techniques proved to be better than other methods because of its ability of nonlinear mapping. In this paper we survey different input parameters that can be used for stock market prediction with ANN. In this paper we will try to find out… CONTINUE READING
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