A review of surrogate models and their application to groundwater modeling
The spatially and temporally variable parameters and inputs to complex groundwater models typically result in long runtimes which hinder comprehensive calibration, sensitivity, and uncertainty analysis. Surrogate modeling aims to provide a simpler, and hence faster, model which emulates the specified output of a more complex model in function of its inputs and parameters. In this review paper, we summarize surrogate modeling techniques in three categories: data-driven, projection, and...[Show more]
|Collections||ANU Research Publications|
|Source:||Water Resources Research|
|01_Asher_A_review_of_surrogate_models_2015.pdf||172.63 kB||Adobe PDF|
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