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Their study shows the importance of validating the ANN models in simulating physical processes especially when data are limited.
This article focuses on the criteria able to evaluate the efficiency of hydrological models in simulating low flows.
The best performing ensemble also outperforms all eight individual models in simulating the observed discharge and flow volume.
The study also showed the importance of validating the performance of ANN models in simulating the physical processes especially when experimental data were insufficient.
A case study is then designed to compare the models in simulating the surface erosion of cohesionless soil inside a pipe flow using laminar flow equations.
The performance of the linear and nonlinear Hunt Crossley models in simulating impact force between concrete bodies is compared against other existing pounding models, namely: linear viscoelastic, nonlinear viscoelastic and modified linear viscoelastic models.
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To examine the correlation between either PTV, COR or EDM, and the ability to detect respective underlying models in simulated datasets, we have run an algorithmic evaluation of three very different data search algorithms.
One fact that is most certainly true is that the accurate estimation of node support is strongly affected by the use of simplistic models in simulated and real datsets [ 9, 10].
Results show that the Langmuir model is better than the Freundlich model in simulating the adsorption experiments.
The results show success of this fuzzy model in simulating driver control actions in curve following and collision avoidance maneuvers.
The results clearly show the advantages of the current model over the traditional interface-spring model in simulating anisotropic layers.
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