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Results obtained from Box Behnken design were analyzed by both response surface regression Design-Expert.V8.0.6.1 Design-Expert.V8.0.6.1ial neural network combining the genetic algorithm method (Matlab2012a software).
Experimental data based on uniform design were analyzed using artificial neural network to find the optimal condition.
The experimental data obtained from experimental design were analyzed by response surface methodology (RSM) [9],[9]],[9]].
Two cigarette types differing in a filter design were analyzed using optimized conditions.
Furthermore, the LOFA and LOCA transients for the CGNPC SCWR design were analyzed with SCTRAN code.
The results of the experimental design were analyzed and interpreted using Design-Expert version 8.0 (Stat-Ease Inc., Minneapolis, MN, USA) statistical software.
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A proposed design is analyzed alongside the NASA model.
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The design is analyzed theoretically and tested experimentally with other more conventional screens.
Robustness of the nonlinear IMC design is analyzed using simulations.
Therefore the design was analyzed using two different models.
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