Feature selection for neural network based stock prediction
We propose a new methodology of feature selection for stock movement prediction. The methodology is based upon finding those features which minimize the correlation relation function. We first produce all the combination of feature and evaluate each of them by using our evaluate function. We search...
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| Main Authors: | , |
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| Format: | Book Series |
| Published: |
2017
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| Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78650150569&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43149 |
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| Institution: | Chiang Mai University |
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