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For the determination of the model reliability, the experimental data related to the naphtha feed, existing in literature, were used.
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Our calculations demonstrate that firm conclusions on the CFD model reliability in the prediction of the segregation dynamics in fluidized beds can be drawn only after careful verification of numerical uncertainties at the operating conditions under investigation.
Model reliability in the estimation of the parameters is established through a sensitivity analysis.
Simulation model reliability over the range of feasible inputs is essential for determining the globally optimal variable values.
Another challenge is the model reliability, where solving the blending problem using a mathematical approach requires property models that are predictive and accurate.
Model reliability checking supported the results of the regression analysis.
Afterwards, the information about the model reliability was verified by using the analysis of variance (ANOVA).
In the proposed model, reliability is defined as the probability of not exceeding a threshold above which HCF contribute to crack propagation.
The model reliability of fit was checked by means of the determination coefficient (R).
The idea of examination of model reliability was introduced to check the reliability of the SVM parameters, obtained by genetic algorithms.
The most important criterion was the model reliability, which was chosen for each dependent variable and for combinations of input variables in a stepwise hierarchical approach.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com