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First, suitable polymer compositions used in subsequent neural network modeling were determined by means of response surface methodology (RS M.
Similar(59)
The models were determined by process identification.
Best-fit models were determined by quadratic regression.
The parameters of the model were determined experimentally.
Parameters of both models were determined by least squares method.
The parameters of model were determined by regression analysis.
Permeation data for the model were determined separately.
Parameters of this constitutive model were determined from experiments data.
The statistical differences of the tumor model were determined by paired Student's t tests.
The best nucleotide substitution models were determined by Modeltest v2.7 (Posada and Crandall 1998).
Values of α and γ for each model were determined by a systematic grid search.
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