Results 111 to 120 of about 167,195 (219)

Kriging metamodeling in constrained simulation optimization: an explorative study. [PDF]

Simulation; Optimization; Studies;
van Beers, W, Van Nieuwenhuyse, Inneke, Biles, WE, Kleijnen, JPC   +3 more
core  

Scalarizing cost-effective multiobjective optimization algorithms made possible with kriging

, 2007
The use of kriging in cost-effective single-objective optimization is well established, and a wide variety of different criteria now exist for selecting design vectors to evaluate in the search for the global minimum.
Jan Sykulski, Hawe, G.I., Hawe, G., Sykulski, J.K., Glenn Hawe   +4 more
core   +1 more source

The Run up Tsunami Modeling in Bengkulu using the Spatial Interpolation of Kriging Technique

Forum Geografi, 2014
This research aims to design a tsunami hazard zone with the scenario of tsunami run-up height variation based on land use, slope and distance from the shoreline.
Yulian Fauzi, Suwarsono Suwarsono, Zulfia Memi Mayasari   +2 more
doaj  

Kriging and Gaussian Process Interpolation for Georeferenced Data Augmentation

CoRR
Data augmentation is a crucial step in the development of robust supervised learning models, especially when dealing with limited datasets. This study explores interpolation techniques for the augmentation of geo-referenced data, with the aim of predicting the presence of Commelina benghalensis L. in sugarcane plots in La R{é}union.
Fabre Ferber, Frédérick, Gay, Dominique, Soulié, Jean-Christophe, Diatta, Jean, Maillard, Odalric-Ambrym   +4 more
openaire   +3 more sources

DeKNN: Decompositional Kriging Neural Network for efficient and interpretable spatiotemporal interpolation

GIScience & Remote Sensing
Spatiotemporal interpolation is a fundamental task in geographic information science and a key component of Earth observation data analysis, supporting applications such as meteorological monitoring, air quality assessment, hydrological analysis, and ...
Enbo Liu, Kaiqi Chen, Min Deng, Senzhang Wang   +3 more
doaj   +1 more source

Empirical semivariograms for kriging interpolation

, 2009
Kriging interpolation is one of the more interesting techniques introduced in the field of surrogate modeling in the last years. This technique has been motivated by the necessity of data interpolation in the geological field in the late sixties. This approach is founded on the availability of the so called "variogram", defined as "a curve representing
openaire   +1 more source

Kriging-Based Finite Element Method: Element-By-Element Kriging Interpolation

Civil Engineering Dimension, 2009
An enhancement of the finite element method with Kriging shape functions (K-FEM) was recently proposed. In this method, the field variables of a boundary value problem are approximated using ‘element-by-element’ piecewise Kriging interpolation (el-KI).
Tjong, Wong Foek, Kanok-Nukulchai, Worsak   +1 more
openaire   +1 more source

The Correct Kriging Variance Estimated by Bootstrapping [PDF]

The classic Kriging variance formula is widely used in geostatistics and in the design and analysis of computer experiments.This paper proves that this formula is wrong.Furthermore, it shows that the formula underestimates the Kriging variance in ...
Siem, A.Y.D., Kleijnen, J.P.C., Hertog, D. den   +2 more
core  

Application-driven Sequential Designs for Simulation Experiments: Kriging Metamodeling [PDF]

This paper proposes a novel method to select an experimental design for interpolation in simulation.Though the paper focuses on Kriging in deterministic simulation, the method also applies to other types of metamodels (besides Kriging), and to stochastic
Kleijnen, J.P.C., Beers, W.C.M. van
core  

Estimation of missing rainfall data in northeast region of Thailand using spatial interpolation methods [PDF]

, 2011
Ground-based rainfall observations are the primary sources of precipitation data used in most developing countries. However, those observations are frequently damaged or incomplete, thus missing data is always a problem.
Wong, K.W., Fung, C.C., Kajornrit, J.
core