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The possible listing of a healthy species like the polar bear would be based on uncertain modeling of possible effects.
First, fuzzy mathematical programming is introduced for uncertain modeling.
Finite element model updating is an optimization problem to identify and correct uncertain modeling parameters.
Finite-element model updating is an inverse problem to identify and correct uncertain modeling parameters, which leads to better predictions of the dynamic behavior of a target structure.
More specific, less reliable emissions and fewer receptor points with busy traffic in the early period lead to more uncertain modeling.
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Following Bayes' rule, a general approach for inverse modeling problems is to sample from the posterior distribution of the uncertain model parameters given the observations.
We consider four uncertain model components.
Propose a bi-level uncertain model with robust optimizations.
Describe a high-throughput method for the analysis of uncertain models, e.g. in biological research.
where is an uncertain model parameter, and is a white Gaussian noise.
The stability analysis is discussed involving two cases: (1) accurate model, (2) uncertain model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com