Residual long short-term memory network with multi-source and multi-frequency information fusion: An application to China's stock market

Songsong Li, Zhihong Tian, Yao Li. Residual long short-term memory network with multi-source and multi-frequency information fusion: An application to China's stock market. Inf. Sci., 622:133-147, April 2023. [doi]

@article{LiTL23-0,
  title = {Residual long short-term memory network with multi-source and multi-frequency information fusion: An application to China's stock market},
  author = {Songsong Li and Zhihong Tian and Yao Li},
  year = {2023},
  month = {April},
  doi = {10.1016/j.ins.2022.11.136},
  url = {https://doi.org/10.1016/j.ins.2022.11.136},
  researchr = {https://researchr.org/publication/LiTL23-0},
  cites = {0},
  citedby = {0},
  journal = {Inf. Sci.},
  volume = {622},
  pages = {133-147},
}