Results 81 to 90 of about 3,105,745 (172)
Explicit Modeling Method for Lift Coefficient of High-Speed Vehicle Based on Symbolic Regression
AerospaceRapid prediction of vehicle lift coefficient is an important issue in aerodynamic design. Traditional CFD/DSMC methods have high computational costs. Although commonly used machine-learning surrogate models offer high prediction efficiency, they struggle
Yangyang Chen +5 more
doaj +1 more source
Disjunctive kriging for environmental management
, 1996 Land managers, legislators and law enforcement agencies must often make decisions based on critical thresholds and using estimates that are subject to error. Disjunctive kriging enables this error to be converted to an estimated probability that the true
Webster, R. +2 more
core +1 more source
Benchmarking Knowledge-assisted Kriging for Automated Spatial Interpolation of Wind Measurements
- We have benchmarked a novel knowledge-assisted kriging algorithm that allows regions of spatial cohesion to be specified and variograms calculated for each region.
Zlatev, Zlatko +2 more
core +1 more source
AgronomyThe carbon density of subalpine-alpine grasslands (SGs) is significantly vital to sustaining the carbon cycle in global terrestrial ecosystems. However, on the Loess Plateau of China, it remains unclear how the geographical environment and plant ...
Manhou Xu +4 more
doaj +1 more source
Constrained optimization in simulation: a novel approach. [PDF]
This paper presents a novel heuristic for constrained optimization of random computer simulation models, in which one of the simulation outputs is selected as the objective to be minimized while the other outputs need to satisfy prespeci¯ed target values.
Van Nieuwenhuyse, Inneke +2 more
core +2 more sources
Agricultural Land Valuation-Hedonic Pricing and Geostatistical Advances: A State-of-the-Art Review
Revista de la Facultad de Ciencias AgrariasThis review examines international research on agricultural land valuation using hedonic pricing methods and geostatistical techniques. It brings together conceptual frameworks, functional forms, spatial econometric models, and empirical findings ...
Vanina Fabiana Ciardullo +1 more
doaj +1 more source
Customized Sequential Designs for Random Simulation Experiments: Kriging Metamodelling and Bootstrapping [PDF]
This paper proposes a novel method to select an experimental design for interpolation in random simulation.(Though the paper focuses on Kriging, this method may also apply to other types of metamodels such as linear regression models.)Assuming that ...
Kleijnen, J.P.C., Beers, W.C.M. van
core
Functional Kriging Uncertainty Assessment
, 2016 Geostatistical techniques for functional data were introduced by Goulard and Voltz (1993), but have only been developed recently. Several papers consider ordinary and universal kriging models to predict a curve at an unmonitored site under the ...
Ignaccolo Rosaria +3 more
core
Scalarizing cost-effective multi-objective optimization algorithms made possible with kriging
, 2008 Purpose – The purpose of this paper is threefold: to make explicitly clear the range of efficient multi-objective optimization algorithms which are available with kriging; to demonstrate a previously uninvestigated algorithm on an electromagnetic design ...
Hawe, G., Sykulski, J.K.
core
Kriging for functional data: uncertainty assessment [PDF]
, 2014 We predict a curve at an unmonitored site taking into account exogenous variables using a functional kriging model with external drift and, alternatively, an additive model with a spatio-temporal smooth term.
Rosaria Ignaccolo +3 more
core