Gradient-Enhanced Universal Kriging for Uncertainty Propagation
نویسندگان
چکیده
منابع مشابه
Gradient-Enhanced Universal Kriging for Uncertainty Propagation
In this work, we investigate the issue of providing a statistical model for the response of a computer model-described nuclear engineering system, for use in uncertainty propagation. The motivation behind our approach is the need for providing an uncertainty assessment even in the circumstances where only a few samples are available. Building on our recent work in using a regression approach wi...
متن کاملImprovements to Gradient-enhanced Kriging Using a Bayesian Interpretation
Cokriging is a flexible tool for constructing surrogate models on the outputs of computer models. It can readily incorporate gradient information, in which form it is named gradient-enhanced Kriging (GEK), and promises accurate surrogate models in >10 dimensions with a moderate number of sample locations for sufficiently smooth responses. However, GEK suffers from several problems: poor robustn...
متن کاملExploiting Uncertainty Propagation in Gradient-based Image Registration
Parametric, gradient-based image alignment is used nowadays in many applications such as object tracking, image registration or camera calibration. In such processes intensity differences between a template and a warped image are minimised based on Newton-like optimisation algorithms. It has been known for a long time that pre-filtering the images under inspection and the use of coarse-to-fine ...
متن کاملEnhancing Stochastic Kriging Metamodels with Gradient Estimators
Full terms and conditions of use:
متن کاملQuantifying uncertainty in elevation models using kriging
Raster based digital elevation models (DEM) are the basis of some of the most important GIS workflows: hydrologic modeling, site suitability, and cost path analysis. While there are several techniques for generating digital elevation models (DEMs), none of them can produce a true elevation surface. Locally varying measurement error and the inexactness of the interpolation methods contribute to ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nuclear Science and Engineering
سال: 2012
ISSN: 0029-5639,1943-748X
DOI: 10.13182/nse10-86