articleTop 1% cited
Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas
Journal of Hydrology · 2018 · Vol. 561 · pp. 918–929
Jianfeng Zhang(Wuhan University)Yan Zhu(Wuhan University)Xiaoping Zhang✉(Wuhan University)Ming Ye(Florida State University)Jinzhong Yang(Wuhan University)
Hydrological Forecasting Using AIHydrology and Watershed Management StudiesFlood Risk Assessment and ManagementComputer scienceDropout (neural networks)Artificial neural networkWater tableStandardizationIrrigation districtSet (abstract data type)Data setData miningTable (database)
Funding
- National Natural Science Foundation of China
- Natural Science Foundation of Hubei Province
- National Key Research and Development Program of China
Citations
787
FWCI
36.83
field-weighted impact
References
57
Percentile
100%
vs. same field & year
Citations per year
Cited by
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References
Learning representations by back-propagating errors
Nature · 1986 · 30,045 citations
Long Short-Term Memory
Neural Computation · 1997 · 95,078 citations
Regression Shrinkage and Selection Via the Lasso
Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1996 · 50,746 citations
Learning to Forget: Continual Prediction with LSTM
Neural Computation · 2000 · 5,306 citations
Model Selection and Estimation in Regression with Grouped Variables
Journal of the Royal Statistical Society Series B (Statistical Methodology) · 2005 · 7,370 citations
Backpropagation through time: what it does and how to do it
Proceedings of the IEEE · 1990 · 4,849 citations
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