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: Prompong Sugunnasil, Samerkae Somhom
格式: Book Series
出版: 2018
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在線閱讀:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78650150569&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/50690
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機構: Chiang Mai University

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