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Developing a novel framework for forecasting groundwater level fluctuations using Bi-directional Long Short-Term Memory (BiLSTM) deep neural network

Redvan Ghasemlounıa, Amin Gharehbaghi, Farshad Ahmadi, Hamid Saadatnejadgharahassanlou

2021Computers and Electronics in Agriculture85 citationsDOIOpen Access PDF

Topics & Concepts

Artificial neural networkRange (aeronautics)Mean squared errorComputer scienceStatisticsMathematicsArtificial intelligenceEngineeringAerospace engineeringHydrological Forecasting Using AIHydrology and Watershed Management StudiesFlood Risk Assessment and Management
Developing a novel framework for forecasting groundwater level fluctuations using Bi-directional Long Short-Term Memory (BiLSTM) deep neural network | Litcius