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Three examples of the model performance are shown.
These and other important considerations to improve the model performance are discussed.
The influence of these tuning constants on the model performance are identified.
The most effective parameters in model performance are identified by a global sensitivity analysis technique named modified Fourier Amplitude Sensitivity Test (FAST) which can incorporate parameter interdependencies.
Assessment measures of model performance are summarized in Table 3.
Differences in model performance are difficult to discern.
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Model derivation and assessment of model performance was performed by using R software version 2.6.0.
Further, the model performance was evaluated using various performance criteria.
It was found that the model performance is satisfactory.
The model performance is checked against industrial steam reformers.
The model performance is demonstrated in eight validation cases.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com