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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
Cites: 53
Cited by: 208
Related to: 10
FWCI: 15.33
Citation percentile (by year/subfield): 99.99
Open Access status: gold
APC paid (est): $1,636