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The 80 ft thickness from family of thickness curves in PKN and KGD models is selected.
Based on the recognized context label, a specific set of sound event models is selected and acoustics models trained with the context-dependent material are selected to be used in the detection stage.
A set of models is selected comparing the results with the experimental average values and the scattering reported in literature for the most significant loading parameters in impacts on rigid targets.
The optimal penalty strength, λ, for the shrinkage models is selected using grid search.
Finally, the best of all these models is selected based on the agreement between a model and the predicted distance (Z-coordinate) from the center of the membrane.
The regularization strength λ for all three models is selected from a range [10−2,10] to maximize the expected AUC based on a 10-fold cross validation.
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Final regression models were selected using a forward selection procedure.
The models were selected based on the RMSE values.
Inputs of models was selected using Gamma test.
For each year, two different charging models were selected.
Two mathematical models were selected for describing soil collapsibility.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com