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Their average relative error is 85.49%.
The average relative error is 15%%.
The average relative error for DG was 14.6%.
The comparison shows an average relative error of 5.03%.
In fact, their average relative error is only 2.19%.
Comparison results using concepts of correlation coefficient (R), average relative error (ARE), absolute average relative error (AARE), and root mean square error (RMSE) are shown in Table 1.
The average relative error between the measured data and FE model predictions is 7.95%.
On the other hand, distillate flow rate reached an average relative error of 42%.
The average relative error of the original RBF neural network is 1.55% in 158 epochs.
The average relative error of prediction was found to be 1%.
In total, 263 experimental kLa points are fitted with an average relative error of 10.4%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com