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...
Saved in:
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Wavelet neural network for stock trading and prediction
by: Huang, Le
Published: (2014) -
Wavelet neural networks for stock trading and prediction
by: Xing, Xiaoyang.
Published: (2013) -
Stock trading using neural networks
by: Li, Bofeng
Published: (2017) -
Evolutionary neural network for stock prediction and trading
by: Zhang, Zhengchang.
Published: (2011) -
An optimized wavelet neural network model for stock market prediction integrated with genetic algorithm
by: Yu, Fang.
Published: (2013)