Sentence examples for model calibration method from inspiring English sources

To overcome this weakness, a model calibration method was proposed that is based on case-by-case parameter identification.

In this paper, we introduce a novel pattern-based model calibration method to reconstruct spatially complex facies distributions from dynamic flow response data.

A statistical model calibration method, used to improve the accuracy of the simulation model for robust optimization, was proposed and implemented, based on the uncertainty data.

Data extracted included name of first author, year of publication, country of study, type of analysis, type of model, calibration method, strategies/technologies assessed, and main findings.

The model calibration method we have proposed in this paper can be effectively used to determine thermodynamically consistent values for the kinetic parameters of any set of reactions in an ideal homogeneous mixture at constant temperature and volume.

This simulation study applies the general framework described in BESTEST-EX for self-testing residential building energy model calibration methods.

Differences in the safety impact estimates are examined to provide insights into the sensitivity of the safety impacts to the crash prediction model calibration methods.

In this paper, we propose a time-varying coefficient (TVC) mortality model aiming to combine the good characteristics of existing models with efficient model calibration methods.

Despite the differences that are observed between the results from the two crash model calibration methods, the two methods do provide consistent estimates of the sign of the safety impact (i.e. increase in safety versus decrease in safety).

The vast majority of published model calibration methods, however, produce biochemical reaction systems that may not be physically realizable, since they do not take into account the fact that the underlying kinetic parameters may be constrained by the fundamental laws of thermodynamics.

One can define new Soil Moisture Accounting models, routing models, calibration methods, objective functions, and evaluation statistics, while retaining as much of the default framework as is useful.