Sentence examples for model with adaptive from inspiring English sources
These solid models were imported into a self-developed biomedical modeling program to generate the FE volumetric mesh model, with adaptive mesh size that is optimal in the regions of biomechanical significance.
A new electromagnetic particle-in-cell (EMPIC) model with adaptive mesh refinement (AMR) has been developed to achieve high-performance parallel computation in distributed memory system.
Furthermore, our analysis suggests that a model with "adaptive" expectations is preferred by the data relative to the version of the model with "rational" expectations.
Thiagarajah, S.S. Appadoo, A. Thavaneswaran, Option valuation model with adaptive fuzzy numbers, Computers and Mathematics with Applications 53 (2007) 831 841] for the stock price and the volatility and we replace the fuzzy volatility and the fuzzy stock price by possibilistic mean value.
The estimates of (mu (t)) thus obtained using the non-stationary ETAS model with adaptive penalty are shown in Fig. 8g and the corresponding model parameters in Table S5.
Results of hand tracking, while holding the guitar (13-DOF model) without adaptive color learningResults of hand tracking, while holding the guitar (13-DOF model) with adaptive color learning.
In contrast to other models with adaptive architecture of this kind, the DTRN algorithm adaptively grows the number of output nodes by applying a vigilance test.
To further investigate the potential causes of these variations, 2D and 3D explicit finite element-based models with adaptive meshing and arbitrary Eulerian Lagrangian capabilities were developed.
In this paper, the complexity is handled by two-level approaches which use Kriging meta-models with adaptive experimental designs at different levels of the structural reliability analysis.
In this paper, we propose a sequential procedure for constructing fixed size confidence regions with a prescribed precision and a given coverage probability for the regression parameters of generalized linear models with adaptive designs.
We propose a soft sensing method using local partial least squares models with adaptive process state partition, referring to as the LPLS-APSP, which is capable of effectively handling time-varying characteristics and nonlinearities of processes, the two major adverse effects of common industrial processes that cause low-performance of soft sensors.
