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The requirements for experimental distinction of the models are determined.
Furthermore, optimal SVM and kernel parameters of GA-SVMR models are determined by genetic algorithm.
Such models are determined either in a theoretical or experimental way.
Proper fixed system models are determined by considering various flight conditions with possible aircraft fault models.
The optimal values of parameters for nonlinear regression models are determined with differential evolution (DE) algorithm.
For the adhesive, interface models are determined by using two different methods.
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The accuracy of the models was determined by the coefficient of determination (R 2 ).
The models were determined by process identification.
Consensus gene models were determined by EVM66, and these models were then updated with PASA assembly alignments.
The most suitable demographic and clock models were determined by Bayes factors calculated from the marginal likelihoods37.
Parameters of both models were determined by least squares method.
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