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: Zheng, Tianxing., Fataliyev, Kamaladdin., Wang, Lipo.
其他作者: School of Electrical and Electronic Engineering
格式: Conference or Workshop Item
語言:English
出版: 2013
主題:
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