A novel LASSO-ATT-LSTM model of stock price prediction based on multi-source heterogeneous data

Huiru Li, Yanrong Hu, Hongjiu Liu

DOI: 10.3233/jifs-221919
Published: 2023-06-01
Container: Journal of Intelligent & Fuzzy Systems
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3233/jifs-221919,
  title = {A novel LASSO-ATT-LSTM model of stock price prediction based on multi-source heterogeneous data},
  author = {Huiru Li and Yanrong Hu and Hongjiu Liu},
  year = {2023},
  journal = {Journal of Intelligent \&amp; Fuzzy Systems},
  doi = {10.3233/jifs-221919},
  url = {https://doi.org/10.3233/jifs-221919}
}

RIS

TY  - JOUR
TI  - A novel LASSO-ATT-LSTM model of stock price prediction based on multi-source heterogeneous data
AU  - Huiru Li
AU  - Yanrong Hu
AU  - Hongjiu Liu
PY  - 2023
JO  - Journal of Intelligent &amp; Fuzzy Systems
DO  - 10.3233/jifs-221919
UR  - https://doi.org/10.3233/jifs-221919
ER  -

APA

Li, H., Hu, Y., & Liu, H. (2023). A novel LASSO-ATT-LSTM model of stock price prediction based on multi-source heterogeneous data. Journal of Intelligent & Fuzzy Systems. https://doi.org/10.3233/jifs-221919

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crossref · retrieved 2026-09-25T04:14:08.866Z