Both models indicate good performance and experimental data are keep close to diagonal line.
The results of mathematical models indicated good aggrement with experimental data.
Both the models indicate good internal as well as external predictive abilities.
Their estimation based on the layered regional earth models indicates good agreement between the measured and interpolated data.
Reconfiguration test results for damaged aircraft models indicate good fault handling capabilities of this fault tolerant control set-up, for component as well as structural faults.
All models indicated good predictions, however, the ANFIS models were more precise compared to the RSM model, which proves that the ANFIS is a powerful tool for modeling and optimizing FAME production in ultrasound reactor.
Evaluation of the system and software designed based on the best developed PLS and PLS-DA models indicated good performance for measuring and detection of diazinon residue in cucumbers.
High χ values in the models indicate good results, and the P value (<0.05) indicates that the model has a statistically significant difference between patients and nonpatients.
Time at 50% breakthrough obtained experimentally compared well with τ obtained through the two-parameter logistics model indicating good fitness of data to the model.
