Crossmark

CDA-LSTM: an evolutionary convolution-based dual-attention LSTM for univariate time series prediction

Crossref DOI link: https://doi.org/10.1007/s00521-021-06212-2

Published Online: 2021-07-09

Published Print: 2021-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Chu, Xiaoquan https://orcid.org/0000-0003-2370-4038
Jin, Haibin

Li, Yue

Feng, Jianying

Mu, Weisong https://orcid.org/0000-0003-2063-7933
License Information

Text and Data Mining valid from 2021-07-09

Version of Record valid from 2021-07-09
More Information

Article History

Received: 20 August 2020

Accepted: 8 June 2021

First Online: 9 July 2021

Declarations

:

: The authors declare that they have no conflict of interest.