The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm
type: Item
instance of: scholarly article
title: The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm
author: Manrui Jiang
author: Lifen Jia
author: Zhensong Chen
author: Wei Chen
published in: Annals of Operations Research
publication date: 2022-01-24T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68T10
Mathematics Subject Classification ID: 62M20
Mathematics Subject Classification ID: 94A12
Mathematics Subject Classification ID: 62P20
zbMATH DE Number: 7462479
zbMATH Keywords: stock price prediction
zbMATH Keywords: empirical mode decomposition
zbMATH Keywords: variational mode decomposition
zbMATH Keywords: harmony search
zbMATH Keywords: ensemble learning
MaRDI profile type: Publication
full work available at URL: s10479-020-03690-w
OpenAlex ID: W3036522266
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DOI: 10.1007/S10479-020-03690-W
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description: scientific article; zbMATH DE number 7462479