Forecasting stock returns using variable selections with genetic algorithm and artificial neural-networks
Modeling stock returns requires selections of appropriate input variables. For an Artificial Neural Network, the appropriate input variables have both linear and nonlinear functional relationship with stock returns as output variables. To capture the non-linear relationships, we propose Weierstrass...
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格式: | Conference Proceeding |
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2018
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在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77749286297&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/59497 |
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