Application of empirical wavelet transform, particle swarm optimization, gravitational search algorithm and long short-term memory neural network to copper price forecasting
Crossref DOI link: https://doi.org/10.1007/s10258-024-00252-x
Published Online: 2024-02-20
Published Print: 2025-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kim, Yong-Hyong
Ham, Song-Jun
Ri, Chong-Sim
Kim, Won-Hyok
Ri, Wi-Song
Text and Data Mining valid from 2024-02-20
Version of Record valid from 2024-02-20
Article History
Received: 21 December 2021
Accepted: 3 January 2024
First Online: 20 February 2024
Declarations
:
: The authors declare that there is no conflict of interest.