Abstract: Artificial Intelligence as an Efficient Alternative to the Conventional Hydrological Modelling for Groundwater Forecasting (AGU Fall Meeting 2018)

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

Samarth Shah¹, Hamidreza Ghasemi Damavandi², Li Huang², Dimitrios Stampoulis², Reepal Shah², Yushiou Tsai², John L Sabo³ and Dragan Boscovic⁴, (1)Arizona State University, FutureH2O, Knowledge Enterprise Development, Tempe, AZ, United States, (2)Arizona State University, Future H2O, Knowledge Enterprise Development, Tempe, AZ, United States, (3)Arizona State University, Future H2O, Knowledge Enterprise Development, Tempe, United States, (4)Arizona State University, CASCADE, Tempe, AZ, United States

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