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The exponential inactivation model gave an excellent approximation of data after 6 16 days from the beginning of the experiment.
ANOVA for the response surface quadratic model gave an F value of 465.69, with a p value of <0.0001, implying its significance.
The model gave an adequate description of the membrane growth and provided an excellent guide for the synthesis of zeolite membranes with engineered microstructure.
The RAST model gave an excellent prediction of binary adsorption experimental data, thus it can be used as a reliable model for the design of industrial adsorption equipment.
Overall, the monthly water balance model gave an excellent prediction of the lake water level fluctuation over the last five decades and can be a useful tool to manage lake water resources in the future.
A blind test on the models revealed that the FN-SVM hybrid model gave an (R-Square) of 0.82, root mean square error of 0.46, and mean absolute error of 0.42 compared to the lowest performing T2FLS model with 0.40, 0.77 and 0.65 respectively.
Similar(29)
The logistic model gave a correct prediction in 73%to83%3%.
The model gave a coefficient of determination (R2) of 0.87.
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.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com