Results 11 to 20 of about 4,853,850 (241)

Steady-State Co-Kriging Models [PDF]

, 2019
In deterministic computer experiments, a computer code can often be run at different levels of complexity/fidelity and a hierarchy of levels of code can be obtained.
Hemmati, Sahar
openaire   +3 more sources

Kriging, co-kriging and space mapping for microwave circuit modeling [PDF]

2011 41st European Microwave Conference, 2011
Space mapping (SM) is a popular technique that allows creating computationally cheap and reasonably accurate surrogates of EM-simulated microwave structures (so-called fine models) using underlying coarse models, typically equivalent circuits. Here, we consider various ways of enhancing SM surrrogates by exploiting additional training data as well as ...
Couckuyt, Ivo, Koziel, Slawomir, Dhaene, Tom   +2 more
openaire   +3 more sources

A generative deep neural network as an alternative to co-kriging

Applied Computing and Geosciences
In geosciences, kriging is leading spatial interpolation, and co-kriging is the most commonly used method for accomplishing spatial interpolation of a target variable by incorporating information from a secondary variable.
Herbert Rakotonirina, Paul Honeine, Olivier Atteia, Antonin Van Exem   +3 more
doaj   +3 more sources

Weed Mapping with Co-Kriging Using Soil Properties [PDF]

Precision Agriculture, 1999
Our aim is to build reliable weed maps to control weeds in patches. Weed sampling is time consuming but there are some shortcuts. If an intensively sampled variable (e.g. soil property) can be used to improve estimation of a sparsely sampled variable (e.g. weed distribution), one can reduce weed sampling. The geostatistical estimation method co-kriging
Heisel, T, Ersbøll, A. K., Andreasen, C.   +2 more
openaire   +2 more sources

Antenna Modeling Using Variable-Fidelity EM Simulations and Constrained Co-Kriging [PDF]

IEEE Access, 2020
Utilization of fast surrogate models has become a viable alternative to direct handling of full-wave electromagnetic (EM) simulations in EM-driven design.
Anna Pietrenko-Dabrowska, Slawomir Koziel   +1 more
doaj   +3 more sources

Efficient simulation-driven design optimization of antennas using co-kriging [PDF]

Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation, 2012
We present an efficient technique for design optimization of antenna structures. Our approach exploits coarse-discretization electromagnetic (EM) simulations of the antenna of interest that are used to create its fast initial model (a surrogate) through kriging.
Koziel, Slawomir, Ogurtsov, Stanislav, Couckuyt, Ivo, Dhaene, Tom   +3 more
openaire   +4 more sources

Fusing Direct and Indirect Measurements Through Multi-Fidelity Learning For Accelerated Electrocaloric Materials Discovery. [PDF]

Adv Sci (Weinh)
A multi‐fidelity framework integrates sparse direct and abundant indirect electrocaloric measurements. Multi‐objective active learning accelerates BaTiO3‐based electrocaloric materials discovery at –70∘C$^{\circ }{\rm C}$. A diffuse transition enables an electrocaloric strength of 0.06×$\times$10−6 Km/V at –70℃ with an operational temperature span of ...
Wang B, Dang P, Tian Y, He Z, Gu W, Zhang L, Lookman T, Zhou Y, Xue D.   +8 more
europepmc   +2 more sources

Multi-fidelity modelling via recursive co-kriging and Gaussian-Markov random fields. [PDF]

Proc Math Phys Eng Sci, 2015
We propose a new framework for design under uncertainty based on stochastic computer simulations and multi-level recursive co-kriging. The proposed methodology simultaneously takes into account multi-fidelity in models, such as direct numerical simulations versus empirical formulae, as well as multi-fidelity in the probability ...
Perdikaris P, Venturi D, Royset JO, Karniadakis GE.   +3 more
europepmc   +5 more sources

The Many Forms of Co-kriging: A Diversity of Multivariate Spatial Estimators

Mathematical Geosciences, 2023
AbstractIn this expository review paper, we show that co-kriging, a widely used geostatistical multivariate optimal linear estimator, has a diverse range of extensions that we have collected and illustrated to show the potential of this spatial interpolator.
Peter A. Dowd, Eulogio Pardo-Igúzquiza
openaire   +2 more sources

High anisotropy space exploration with co-Kriging method [PDF]

AIP Conference Proceedings, 2019
For a black box data-space exploration, classical DoE method prescribes a cluster of quasi-isotropic design points following a certain space-infill criterion, however the objective function behaves. Adding new points often disturbs the original spatial-infill properties, which restricts dimension-augmentation and reusability of data.
Zebin Zhang, Zhonghua Han, Pascal Ferrand   +2 more
openaire   +1 more source