The predictive quality of the hybrid model was superior to other models.
To Blinder, it was self-evident that the Fed model was superior – not only for the experts, but also in the eyes of the public.
This model was superior to the UNIFAC predictions, especially at the low aqueous ethanol concentrations.
The results revealed that the external predictive potential of the ETA model was superior to the non-ETA model.
It was concluded that the prediction performance of the proposed nine-node-based model was superior to that of the four-node-based model.
Accuracy analysis of ANFIS and ROANFIS models based on both developed discrepancy ratio and threshold statistics revealed that the selected ROANFIS model was superior.
This history-dependent model was superior to a conventional model in predicting the peak tensile strains, but otherwise the effect of temperature history was weak for 2024-T3.
Among the kinetic models, the pseudo – second – order model was superior to others and among the adsorption isotherms, Langmuir model fits well as compared to that of Freundlich model based on the regression coefficient values.
The results showed that the D-M model was superior to other thermodynamic models in the prediction of CO2 loading data with average absolute relative deviations (AARDs) of 2.89%, 3.59%, 1.76%, and 2.3% for DEEA, 1DMA2P, DEAB, and 1DEA2P solutions, respectively.
The research outcomes showed that the CEEMDAN-ELM model outperformed the alternative models at three (out of the seven) sites applied for upper layer SM forecasts, while the EEMD-ELM hybrid model was superior at all seven sites for the lower layer soil moisture forecasts.
Therefore, the ANN model was superior to the other models.
