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)
Work
Year: 2021
Type: article
Abstract: . It is now well established to use shallow artificial neural networks (ANNs) to obtain accurate and reliable groundwater level forecasts, which are an important tool for sustainable groundwater manag... more
Authors Andreas Wünsch, Tanja Liesch, Stefan Broda
Institutions Karlsruhe Institute of Technology, Federal Institute for Geosciences and Natural Resources
Cites: 53
Cited by: 208
Related to: 10
FWCI: 15.33
Citation percentile (by year/subfield): 99.99
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
APC paid (est): $1,636