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Evaluation of these models was done by using experimental data published by Schüller (2003, 2006).
Preliminary data suggest that a few appear promising; however, further evaluation of these models is required.
For the performance evaluation of these models, realistic values of steady-state and transition probabilities are required.
This study deals with the evaluation of these models by comparing the simulation results with experimental data.
Large-scale datasets with uniformly collected dMRI data are also growing in size, and will facilitate the evaluation of these models and methods [42].
The results obtained by the evaluation of these models serve as the input to the MiPACE tool, which then finds a set of optimal solutions.
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Analytical performance models of the four methods are formulated and presented followed by evaluations of these models with modern multi-core systems' operation latencies.
Evaluations of these models yield outcomes that range from generally positive assessments of the corridor and national hybrid models to more concerns and uncertainties about the international hybrid and comprehensive national network models.
Critical evaluations of these models using three statistical parameters, coefficient of determination, relative root mean square error and model efficiency, indicated that when the Monod/multiple Monod kinetics was combined with CSTR flow pattern it allowed close match between theoretical prediction and experiment data of nitrogen and organics removal.
Early evaluations of these models show promising results [ 34- 36].
5 29 These findings suggest that some models or components of models are only effective within certain contexts, and that the current evaluations of these models have limited utility in deciding which intervention are best suited to particular patient groups or care environments.
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