Articles | Volume 25, issue 3
https://doi.org/10.5194/hess-25-1671-2021
https://doi.org/10.5194/hess-25-1671-2021
Research article
 | 
01 Apr 2021
Research article |  | 01 Apr 2021

Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)

Andreas Wunsch, Tanja Liesch, and Stefan Broda

Viewed

Total article views: 15,744 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
11,466 3,990 288 15,744 946 314 358
  • HTML: 11,466
  • PDF: 3,990
  • XML: 288
  • Total: 15,744
  • Supplement: 946
  • BibTeX: 314
  • EndNote: 358
Views and downloads (calculated since 23 Nov 2020)
Cumulative views and downloads (calculated since 23 Nov 2020)

Viewed (geographical distribution)

Total article views: 15,744 (including HTML, PDF, and XML) Thereof 15,042 with geography defined and 702 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 09 Oct 2026
Download
Share