Sentence examples for prediction of a system from inspiring English sources
The adjustment factor approach is used to propagate model uncertainty into prediction of a system response.
While a method called the adjustment factor approach is utilized to propagate model form uncertainty alone into the prediction of a system response, a method called model averaging is utilized to incorporate both model form uncertainty and prediction error into it.
In this paper, the effect of the contact model on the prediction of a system's dynamics is analyzed.
By way of illustration, Bayesian inference and prediction for a system of 27 protein species required over 12 h (serial) computational time.
Nonetheless, the idea that internal states can be fully described in terms of their relations to input, output, and one another, and can figure in lawlike descriptions, and predictions, of a system's output, was a rich and important idea that is retained by contemporary functionalist theories.
SIMLAB can provide probabilistic failure prediction of a structural system characterized by both random variables and random processes.
Then, the uncertainty analysis is applied to examine if it can improve instability prediction of a nonlinear system using linear methods and its limitations.
Therefore, it is important to characterize such an equilibrium point, since it concerns the performance prediction of a distributed system.
Such an interaction evaluation and prediction system has been discussed by Smith and colleagues, 13 they did not consider the composition, performance or accuracy of the evaluation or the prediction of a concrete system.
The model is applied to the prediction of an air/water system in a bubble column and for which experimental data is available.
A combination of system dynamics (SD) and geographic information system (GIS) is expected to explicitly understand the synergic interaction and feedback among a variety of influencing factors in time and space, since SD model can extend the spatial analysis functions of GIS to realize both dynamic simulation and trend prediction of an ERE system development.
