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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Bibliographic Details
Main Authors: Zheng, Tianxing., Fataliyev, Kamaladdin., Wang, Lipo.
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/84751
http://hdl.handle.net/10220/13352
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Institution: Nanyang Technological University
Language: English