Application of Feature Selection Based on Multilayer GA in Stock Prediction

Application of Feature Selection Based on Multilayer GA in Stock Prediction

This paper proposes a feature selection model based on a multilayer genetic algorithm (GA) to select the features of a high stock dividend (HSD) and eliminate the relatively redundant features in the optimal solution by using layer-by-layer information transfer and two-dimensionality reduction metho...

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Bibliographic Details
Main Authors: Xiaoning Li, Qiancheng Yu, Chen Tang, Zekun Lu, Yufan Yang
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Symmetry
Subjects:
genetic algorithm
time series split cross validation
fitness function
feature selection
stock prediction
Online Access:https://www.mdpi.com/2073-8994/14/7/1415

Internet

https://www.mdpi.com/2073-8994/14/7/1415

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