A hybrid model for water quality parameter prediction based on CEEMDAN-IALO-LSTM ensemble learning
Crossref DOI link: https://doi.org/10.1007/s12665-022-10380-2
Published Online: 2022-04-25
Published Print: 2022-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Song, Chenguang
Yao, Leihua
Text and Data Mining valid from 2022-04-25
Version of Record valid from 2022-04-25
Article History
Received: 18 October 2021
Accepted: 3 April 2022
First Online: 25 April 2022
Declarations
:
: The authors have no relevant financial or non-financial interests to disclose.