The obtained results were compared against measured data, and both models were compared to each other.
Suitable numerical algorithms are presented and both models are compared numerically and validated against real-data test settings.
Doing what they do best, Ford and Chevrolet competed by making luxury features available on the Ranchero and El Camino, and both models leapt headlong into the horsepower race.
Transport and kinetic parameters are estimated from experiments, and both models successfully predict concentration measurements in some of the set of experiments.
The goodness of fit for all models were measured by RMSE and R2 in 10-fold cross validation scheme, and both models showed a reliable accuracy.
It was found that the LSSVM model performs slightly better than the ANN models and both models performed much better than the SRC model.
The simulation results from the CFD model and the CIM are compared with the experimental data and both models provide trends that are in very good agreement with measurement.
Following optimization, both ANN and GLM models explained the data effectively (corrected c-indices 0.99 and 0.95, respectively), and both models explained the independent test data set completely (c-indices 1.00 for both models).
The previously published rectangular model is generalized to the cylindrical case and both models are used to simulate results for all elements in the plane wave scattering matrix and for all parameters for which experimental results are available.
The developed models were further validated by using a set of another sixteen compounds as external test set 2 and both models showed strong predictive power with r2Pred = >0.8.
And both models boast some pretty good specs.
