A Novel Integrated Approach for Stock Prediction Based on Modal Decomposition Technology and Machine Learning-Reference-Cited by-同舟云学术

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A Novel Integrated Approach for Stock Prediction Based on Modal Decomposition Technology and Machine Learning

Published:2024 Issue: Volume:12 Page:95209-95222
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sun Yu¹^ORCID,Mutalib Sofianita²^ORCID,Omar Nasiroh²^ORCID,Tian Liwei³^ORCID

Affiliation:

1. School of Management, Guangdong University of Science and Technology, Dongguan, Guangdong, China

2. School of Computing Sciences, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

3. School of Computing, Guangdong University of Science and Technology, Dongguan, Guangdong, China

Funder

Dongguan social science and technology development project: Research on financial trend prediction technology based on deep learning

Guangdong Province Key Discipline Research Capacity Enhancement Project

2023 Key Natural Science Project of Guangdong University of Science and Technology

Natural Science Project of Guangdong University of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10589656.pdf?arnumber=10589656

Reference52 articles.

1. Characterization of financial time series;Sewell;Rn,2011

2. Introduction to financial forecasting

3. An improved stock forecasting method based on LSTM;Fang;Anhui Univ. J.,2019

4. Stock Market Prediction Using Deep Reinforcement Learning

5. Deep learning with long short-term memory networks for financial market predictions

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