Groundwater level prediction with meteorologically sensitive Gated Recurrent Unit (GRU) neural networks

Amin Gharehbaghi; Redvan Ghasemlounıa; Farshad Ahmadi; Mohammad Albaji

doi:10.1016/j.jhydrol.2022.128262

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Groundwater level prediction with meteorologically sensitive Gated Recurrent Unit (GRU) neural networks

Amin Gharehbaghi Redvan Ghasemlounıa Farshad Ahmadi Mohammad Albaji

Year: 2022 Journal: Journal of Hydrology Vol: 612 Pages: 128262-128262 Publisher: Elsevier BV

DOI: 10.1016/j.jhydrol.2022.128262

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Keywords:

Hyperparameter Mean squared error Environmental science Artificial neural network Overfitting Computer science Statistics Hydrology (agriculture) Mathematics Machine learning Geology

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Hydrological Forecasting Using AI

Physical Sciences → Environmental Science → Environmental Engineering

Flood Risk Assessment and Management

Physical Sciences → Environmental Science → Global and Planetary Change

Hydrology and Watershed Management Studies

Physical Sciences → Environmental Science → Water Science and Technology

Groundwater level prediction with meteorologically sensitive Gated Recurrent Unit (GRU) neural networks

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