PCA-based multivariate LSTM model for predicting natural groundwater level variations in a time-series record affected by anthropogenic factors
Crossref DOI link: https://doi.org/10.1007/s12665-021-09957-0
Published Online: 2021-09-21
Published Print: 2021-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kim, Gyoo-Bum https://orcid.org/0000-0001-6556-2045
Hwang, Chan-Ik
Choi, Myoung-Rak
Text and Data Mining valid from 2021-09-01
Version of Record valid from 2021-09-01
Article History
Received: 29 October 2020
Accepted: 7 September 2021
First Online: 21 September 2021
Declarations
:
: The authors declare no conflict of interest.