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The results show that the mechanism yields good agreement under all validation conditions.
The relationship should be picked carefully to satisfy the validation conditions of each equation.
Validation conditions (R2 > 0.8 and AED < 10%%) for the selected second order models obtained from regression analysis were met for all the biodiesels (Table 2).
In general the validation conditions should simulate the efficacy test conditions as closely as possible.
Software-generated ANN simulation runs were obtained as a result of examining the response surface, with five validation conditions that resulted in maximum predicted response values chosen for experimental verification.
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The average of the pneumolysin activity in the validation condition was 1394 ± 73 HU/mL, which is statistically the same as the highest values obtained in the fractional design experiments.
Predictive ability was only slightly lower under 10-fold cross-validation conditions (area under the ROC curve 0·78).
Predictive ability was slightly lower under 10-fold cross-validation conditions (area under the ROC curve 0·72).
Response surface methodology (RSM), which includes experimental design, model fitting, validation and condition optimization, has eliminated the drawbacks of single-factor experimental design and been proved to be powerful and useful for the optimization of ATPS [14], [15].
Experiments in a channel flow reactor by means of chemiluminescence detection of the excited OH radical allowed for model validation at steady conditions and identification of the conditions at which unsteady flame dynamics were present.
In order to provide experimental data sets for mechanism validation at such conditions, the autoignition of homogeneous ethanol/oxidizer mixtures has been investigated in a rapid compression machine.
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