Sentence examples for approaches in modeling from inspiring English sources

Exact(13)

This study investigates the applicability of Mamdani and Sugeno fuzzy genetic approaches in modeling reference evapotranspiration (ET0).

The results of research using ANFIS approach have had better goodness of fit than those of ANN and LR approaches in modeling urban growth for Sanandaj city.

Qunli et al. (2009) used radial basis functions (RBF) and showed that a RBF type neural network that benefits from wavelet transformations provided better results than the linear approaches in modeling monthly crude oil prices.

One of the most commonly used approaches in modeling the composting kinetics is the substrate degradation models, where the independent variable is either the quantity or concentration of the substrate remaining.

Our goals are to study how the device boundaries are treated in both transport models affects the current calculations, and to investigate the performance of both approaches in modeling the DG-MOSFET.

To demonstrate the capabilities of evolutionary-based approaches in modeling the deviatoric stress of calcareous sands, two promising variants of genetic programming (GP), multigene genetic programming (MGP) and gene expression programming (GEP), were applied to propose new predictive models.

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As a result, in spite of their utility, the ODE-based models are not necessarily the default choice for modelling mRNA translation, although they are the dominant approaches in modelling other bioprocess such as gene transcription, signal transduction [ 41- 43].

A first approach in modeling the steady state creep deformation of the fully lamellar material in question is presented.

Finally, a case study has been presented which shows the applicability of present approach in modeling real situations.

A common approach in modeling surface water groundwater interaction is to represent the streambed as a homogeneous geological structure with hydraulic properties obtained by means of model calibration.

Finally, we compare our predictions with preliminary experiments and also demonstrate the utility of our approach in modeling complex structural adhesives.

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