Sentence examples for predictions of nonlinear from inspiring English sources
With the application of this method at first on linear models initially condensed by Karhunen Loève, the predictions of nonlinear responses can be obtained rapidly.
The results demonstrated that, for the two nonlinear static analysis methods used in this study, different predictions of nonlinear response occurred with neither method being regarded as producing correct results due to a number of simplifications inherent in the methods.
Presented here is the added model component that enables predictions of nonlinear changes in LSBMD during, following discontinuation of, and after reinstitution of treatment with denosumab.
In this study, we present a simple extension to a previously published MSPM of calcium and bone homeostasis that enables predictions of nonlinear changes in LSBMD.
The example is a simple extension of a previously published mathematical multiscale model of calcium and bone homeostasis to enable accurate predictions of nonlinear changes in lumbar spine BMD (LSBMD).
A mathematical model component that extends a previously published physiologically based model of calcium and bone homeostasis has been constructed, enabling predictions of nonlinear changes in LSBMD during and following discontinuation and reinstitution of treatment with denosumab.
Yu, J. Online quality prediction of nonlinear and non-Gaussian chemical processes with shifting dynamics using finite mixture model based Gaussian process regression approach.
It assures an accurate prediction of nonlinear hysteresis behavior of TSM, especially at near zero velocities.
Through this project we have also begun to address more fundamental questions related to the prediction of nonlinear systems and, in particular, the data needed to facilitate such predictions.
A three-dimensional multi-scale computational homogenisation framework is developed for the prediction of nonlinear micro/meso-mechanical response of the fibre-reinforced polymer (FRP) composites.
We present a novel numerical procedure for the prediction of nonlinear hydrodynamic loads exerted on offshore wind turbines exposed to severe weather conditions.
