
Model Induction from Data
Towards the Next Generation of Computational Engines in Hydraulics and Hydrology
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There has been an explosive growth of methods in recent years for learning (or estimating dependency) from data. This work addresses model induction from data for the simulation of hydrodynamic processes in the aquatic environment.