Artificial Intelligence as an Efficient Alternative to the Conventional Hydrological Modelling for Groundwater Forecasting

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ADS bibcode: 2018AGUFM.H21J1782S
year: 2018
Listed Authors: Shah, S.; Ghasemi Damavandi, H.; Huang, L.; Stampoulis, D.; Shah, R.; Tsai, Y.; Sabo, J. L.; Boscovic, D.
Listed Institutions: FutureH2O, Knowledge Enterprise Development, Arizona State University, Tempe, AZ, United States; FutureH2O, Knowledge Enterprise Development, Arizona State University, Tempe, AZ, United States; FutureH2O, Knowledge Enterprise Development, Arizona State University, Tempe, AZ, United States; FutureH2O, Knowledge Enterprise Development, Arizona State University, Tempe, AZ, United States; FutureH2O, Knowledge Enterprise Development, Arizona State University, Tempe, AZ, United States; FutureH2O, Knowledge Enterprise Development, Arizona State University, Tempe, AZ, United States; FutureH2O, Knowledge Enterprise Development, Arizona State University, Tempe, AZ, United States; CASCADE, Arizona State University, Tempe, AZ, United States

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Arizona State University