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Competencies'' Plot Fig. 13 Maximum Percentage Error Values Vs.
This model provided good prediction accuracy (maximum percentage error 7.45%) of surface roughness.
The maximum percentage error between these two solutions is only 0.001%.
The parameter δ is defined considering the maximum percentage error allowed in the reconstruction process.
The first and second order regression models thus developed were not found accurate enough (maximum percentage error close to 24%).
Among 11 tested networks, the ANN with best prediction performance produces maximum percentage error of only 3.21%.
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Measures were used to validate the adequacy of these models including, the mean average percentage errors and the maximum percentage errors.
We observe a good agreement between the Finite Element and the experimental results, with maximum percentage errors <7% for the shear moduli of the honeycombs.
Maximum percentage errors of less than 40.0% were recorded when the predicted ignition delay (ID) periods for coconut, palm, rapeseed and soybean methyl esters were compared to those of the respective detailed mechanisms.
The maxima of such plots gives the maximum absolute percentage error which is a measure of the maximum expected deviations from the MM equation.
Fig. 7 Reconstruction error CDF of temperature and humidity signals Table 2 Maximum percentage reconstruction error (emax) ×δ δ Emax —temperature Emax —humidity 1 0.1987 0.5430 2 0.2526 0.7615 5 1.9479 2.6297 8 3.0879 4.2182.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com