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The model gave a coefficient of determination (R2) of 0.87.
The logistic model gave a correct prediction in 73%to83%3%.
The mathematical model gave a good fit to the experimental release data.
The second order polynomial model gave a satisfactory description of the experimental data.
Contrary to Monod's, Haldane's model gave a good fit to the growth kinetics data.
The network model gave a relationship coefficient of 0.9996 between targets and outputs.
Only the new model gave a good fit on both pressure and composition.
The model gave a good description of curing kinetics up to the onset of vitrification.
This prediction generated by the simulation model gave a hypothesis which should be revised by additional field observations.
The partial least squares regression model gave a mean error lower than 5% for all components presented in the mixture.
ANN GA predicted model gave a 6.0% increase of enzyme activity over the regression based prediction for optimized enzyme activity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com