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Split analysis (a randomly selected 70% of study subjects were used for model development; the rest were set aside for model validation) was performed and measures of model performance were obtained from the validation set to avoid overfitting.
In addition, the effects of data transformation on model performance were also investigated.
The effects of four different flow boiling heat transfer correlations on DP model performance were investigated.
The wavelet transform was used to decompose both simulated and observed flows into different scale components and to assess changes in catchment hydrology across different temporal scales; model residuals and model performance were tested for significant changes in wavelet variance and wavelet correlation respectively.
No other statistically significant or noteworthy differences in model performance were found based on both physical properties and structure/scaffold.
The impacts of spatial variables, neighborhood size and cell size on model performance were obtained by sensitive analysis.
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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