Sentence examples for modeling errors in from inspiring English sources

Since there are model uncertainties induced by modeling errors in the computational model, the nonparametric probabilistic approach of uncertainties is used and implemented in the reduced order computational model.

The deterministic stability analysis developed by Paidoussis and Issid (1974) is extended to the case for which there are model uncertainties induced by modeling errors in the computational model.

This may pinpoint modeling errors (in the model constraints or in the assumption of maximizing growth), but also errors in gas measurements: these measurements are generally less reliable, since they are based on determinations of the exhaust gases flow and concentration, which are prone to substantial experimental deviations.

The validation method consists of reasoning on those ontologies to find modeling errors in archetypes: incorrect restrictions over the reference model, non-conformant archetype specializations and inconsistent terminological bindings.

In this paper, techniques for estimating modeling errors in such quantities of interest are developed.

Due to modeling errors in designing ontologies, an ontology may carry incorrect information.

However, any modeling error in may translate in actual performances (computed with accurate models) to violate.

The RBF NN is utilized to approximate the nonlinear function and eliminate the modeling error in the APF system.

In the open-loop approach, we identify the models with the minimum additive uncertainty in H∞ norm and then constant or frequency dependent upper-bounds for the modeling error, in the same optimization procedure, are obtained.

Similarly, any modeling error in may translate in platform performances being unfeasible.

More research is required to understand how to assess the modeling error in such approaches.