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Exact(26)
Factorial design was used to determine which operational parameters should be included in the optimization and their optimal values were found.
The theoretical optimal values were in agreement with experimental observations.
These optimal values were much higher than those of mixed Cu–W composites.
Eventually, the confirmation experiments are carried out to demonstrate the optimal values were effective and reliable.
Grey Fuzzy Reasoning Grade (GFRG) is developed and the optimal values were found out from the Grey relational grade.
Different parameter values for calculating texture features were tested, the optimal values were selected by maximizing the AUC result.
Similar(34)
where α > 0 is called the regularization parameter whose optimal values are determined through optimization for minimum estimation errors.
Optimal values are reported in bold.
Optimal values are highlighted in bold.
Their optimal values are listed in Table 1.
The best optimal values are shown in bold face.
Related(20)
appropriate values were
ultimate values were
suitable values were
optimal concentrations were
optimal characteristics were
excellent values were
ideal values were
optimized values were
optimal results were
optimal settings were
good values were
greater values were
better values were
optimal values described
optimal stimuli were
optimal conditions were
optimal bindings were
optimal molecules were
optimal dilutions were
optimal parameters were
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