From this analysis, the quadratic equation model is selected as the most accurate model.
The most accurate model is identified and its performances are analyzed.
The correlated SNBCK is the most accurate model but is too time consuming for engineering applications.
This study aimed to figure out the most accurate model for the site-specific prediction of AGB.
Mostly common statistical errors are utilized to evaluate the performance of these models and identify the most accurate model.
The differences among these configurations are briefly explained, whereas the focus is set on the two most accurate model formulations given in the first two papers.
Several parameters were first studied in order to measure their influence on batch extraction thus enabling to choose the most accurate model.
The ANFIS model with hybrid learning algorithm of grid partition was able to produce the most accurate model outcomes for estimating the correction factor among the examined models.
In addition, there often exists multiple models to represent the given situation, and complete confidence in selecting the most accurate model among the model set considered is beyond the capability of the user.
This consists in evaluating the material parameters for material behavior laws that would lead to the most accurate model, minimizing the difference between experimental results and the corresponding FEM simulation.
A numerical simulation, consisting of three sets of multi-step elementary surface reactions for CH4 oxidation over Pt, was conducted and the most accurate model was used to evaluate the catalyst bed and the homogeneous reaction.
