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At last, the industrialized test was conducted and the ammonia production rates agreed well with the model predicted data, and the ammonia consumption of flue gas denitration in the selective catalytic reduction was satisfied.
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Differences by stand age in pH, but not C and N were captured by regression models of predicted data.
Also the comparison between the top brine temperature of the proposed model and NN predicted data from the literature supports the accuracy of the model.
These are used in an SEA model to provide predicted data for comparison with measured results obtained from a wall tested in a transmission suite.
The experimentally determined quaternary LLE data were compared with the NRTL model predicted LLE data, and generally agreements were obtained.
As the prediction power of the model was almost 98%, predicted data had close matches with the measured data.
For each model, the six repeats of experimental data were used to estimate, through the root mean square error (RMSE) and Akaike Information Criterion (AIC), how well the model predicted the data.
The results showed that the Malzbender model predicted experimental data the best.
A conventional 1-D recirculation model predicted the data taken at a uniform heat flux of l0 kW m−2.
When IDUs were excluded, the multivariable model predicted the data less well (–2 log likelihood with IDUs = –686.7, without = –660.2), but this exclusion affected neither the direction of the ORs nor their size in a relevant way (data not shown).
This kind of model, in general, is often termed a "forward model": it is a physiological model that predicts data time series (SCR) from a known central process (SA).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com