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The optimization was preceded by sensitivity analysis to establish the design and uncertain domains.
The optimal population size for the NPGA was found by sensitivity analysis to be approximately 100, when the total computational cost was limited to 2000 function evaluations.
The effect of the main operating parameters has been investigated by sensitivity analysis to identify optimal conditions that maximize power production.
The effects of the main operating parameters are investigated by sensitivity analysis to identify optimal conditions to maximize power production under autothermal conditions, evaluating the results by energy and exergy analyses.
Fourteen variables were identified by sensitivity analysis to crucially determine indicators and clusters.
Mechanism of missing data on major outcomes will be examined by sensitivity analysis, to inform adequate imputation procedures.
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We applied neural networks (NN) to approximate the nonlinear projection from original input space into low-dimensional space found by Isomap, followed by the sensitivity analysis to choose the best subset of predictive variables in the input space.
This is followed by a sensitivity analysis to predict how the steering error is affected by manufacturing tolerances, assembly errors, and clearances resulting due to wear.
In both approaches, the structural eigenproblem is solved and complemented by a sensitivity analysis to the random parameters.
First, adequacy of the network structure is checked by global sensitivity analysis to changes in concentrations of molecular species, validating that the model can reproduce qualitative features of the system behavior derived from experiments or literature surveys.
The reliability of the model is explored by a sensitivity analysis to establish bounds on unmeasured parameter values and to determine the processing domain of nucleation controlled microstructural evolution.
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