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The parameters of the model are fit to experimental data for a rubber in industrial use.
Also, the predicted CO2 absorption rates obtained from the developed reaction rate/kinetics model are fit favorably with the experimental results with an absolute average deviation (AAD) of 6.5%.
A mathematical model of the reformer is developed and selected parameters of the model are fit to experimental data collected from a fuel reformer that was designed, built and operated by the Material and Chemical Research Laboratories (MCL) of the Industrial Technology Research Institute (ITRI) in Hsinchu, Taiwan.
Using only the training set, the informative genes are selected and the parameters of the model are fit to the data.
When free parameters in the model are fit to one data set, they should show they can reproduce other data without extra fitting.
Here two variations of the same model are fit, see Additional file 2. The first model was originally optimized using a genetic algorithm approach, and thus contains a minimal number of parameters to reduce optimization complexity.
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Then, a super-ellipsoid model is fit at each seed.
Two variants of the 3D model were fit.
The model was fit using proc mixed in SAS 9.1.
The model is fit and improved over several iterations.
Before the full model was fit, bivariate relationships were explored.
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CEO of Professional Science Editing for Scientists @ prosciediting.com