Wavelet neural networks for stock trading
This paper explores the application of a wavelet neural network (WNN), whose hidden layer is comprised of neurons with adjustable wavelets as activation functions, to stock prediction. We discuss some basic rationales behind technical analysis, and based on which, inputs of the prediction system are...
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Main Authors: | , , |
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其他作者: | |
格式: | Conference or Workshop Item |
語言: | English |
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2013
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在線閱讀: | https://hdl.handle.net/10356/84751 http://hdl.handle.net/10220/13352 |
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機構: | Nanyang Technological University |
語言: | English |