Sentence examples for model in evaluating from inspiring English sources

To show the effectiveness of such an equivalent linear, time-variant model in evaluating the nonstationary and nonlinear vibration systems, simulated hysteretic responses are examined by the procedure.

We also use empirical data to demonstrate the applications of our DEA model in evaluating the sustainable design performances of different vehicle designs for the automobile industry.

Case studies on a standard IEEE reliability test system (IEEE-RTS) have verified the applicability and effectiveness of the proposed model in evaluating the reliability performance of wind farms.

Donovan and Rideout's (2003) C + NVC model2 has become the standard or at least most commonly accepted model in evaluating wildland rural fire management programmes (Ganewatta 2008; Gebert et al. 2008; Florec et al. 2012).

Considering its simplicity in interpretation, predictive accuracy, its data-driven and adaptive nature plus the ability to map the interaction between variables, the use of MARS_LR model in evaluating stability of underground entry-type excavations is promising.

Hapanowicz (2008) tested the accuracy of available drift-flux models in evaluating the slip between water and oil phases in a horizontal pipe.

Despite these functional differences, our results provide important information for a rational design of animal models in evaluating TLR ligands as adjuvant in vivo.

The study aims to validate the accuracy of numerical models in evaluating the dynamic stiffness and modal properties of the bridge soil system.

To better understand the utility of state space models in evaluating population dynamics, we used them in a Bayesian framework and compared the accuracy of models with differing complexity, with and without informative priors using sequential importance sampling/resampling (SISR).

The results show the advantages of FuDSEM over the other two models in evaluating the relative distribution of erosion, thereby emphasizing the benefits of its temporally dynamic and fuzzy structure.

This situation highlights the critical importance of quantitative modeling in evaluating Fe trafficking hypotheses.