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Lots of reaction routes are selected by using multi-objective programming.
The control parameters are selected by using root locus analysis, which guarantees the system stability.
Optimal number of training points are selected by using distribution adaptive sequential experimental design.
The different data patterns of TS signals which can achieve higher CIR estimation accuracy in the multipath fading channels are selected by using the computer simulation results.
Namely, the stationary pixels and stationary regions around them are selected by using the two-dimensional analysis, as it was described in the previous subsection.
Important features for the ANN are selected by using the sensitivities of the voltage stability margin with respect to the inputs.
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Significant factors were selected by using the stepwise selection method.
Variables have been selected by using stepwise backward selection.
Since we wanted information-rich cases, the informants were selected by using strategic sample selection [ 18].
The final model was selected by using the backward selection method in multivariable logistic regression.
Selection of the appropriate model of evolution was selected by using the hierarchical likelihood ratio test (hLRT) [29], which was implemented in the program of Modeltest 3.7 [3.7.
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