Results 21 to 30 of about 113,545 (266)
REAK: Reliability analysis through Error rate-based Adaptive Kriging [PDF]
Reliability Engineering & System Safety, 2019 As models in various fields are becoming more complex, associated computational demands have been increasing significantly. Reliability analysis for these systems when failure probabilities are small is very challenging, requiring a large number of ...
Zeyu Wang, A. Shafieezadeh
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Горные науки и технологии, 2016 Geostatistics-based estimators, i.e. ordinary kriging and simple kriging, are state-of-the-art estimation techniques widely used in the mining industry.
Ngoc Luan Mai, Xuan Nam Bui
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Tropical Agricultural Research, 2018 This study was conducted to explore performances of multivariate geostatistical techniques, co-kriging and regression kriging in contrast to univariate ordinary kriging, to generate detailed maps of soil texture by using proximally sensed apparent ...
R. A. A. S. Rathnayaka +2 more
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Metamodel-Assisted Multidisciplinary Design Optimization of a Radial Compressor
International Journal of Turbomachinery, Propulsion and Power, 2019 Kriging is increasingly used in metamodel-assisted design optimization. For expensive simulations; however, one can afford only a few samples to build the Kriging model, which consequently lacks prediction accuracy.
Mohamed H. Aissa, Tom Verstraete
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Assessment of Severity of Droughts Using Geostatistics Method(Case Study: Southern Iran) [PDF]
Desert, 2013 Drought monitoring is a fundamental component of drought risk management. It is normally performed usingvarious drought indices that are effectively continuous functions of rainfall and other hydrometeorological variables.In many instances, drought ...
A. Nohegar, M. Heydarzadeh, A. Malekian
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Strategies for balancing exploration and exploitation in electromagnetic optimisation [PDF]
, 2012 The paper focuses on the advantages and drawbacks of different strategies which may be used to assist kriging surrogate modelling with the purpose of selecting multiple design vectors for evaluation when stepping forward in optimisation routines.
Rotaru, M., Sykulski, J.K., Xiao, Song
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Comparison of sensitivity of interpolation methods by rain gauge network density [PDF]
علوم و مهندسی آبیاریDifferent interpolation methods, each with their own strengths and weaknesses, are used to temporal and spatial estimation of precipitation. The accuracy of this estimate depends on the density of point data measured at rain gauge stations. In this study,
Amin Kanooni, Erfan Faraji Amogein
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Review of Dace-Kriging Metamodel [PDF]
Interdisciplinary Description of Complex Systems, 2023 This paper presents a conceptual review of the kriging metamodel that is introduced for the design and analysis of computer experiments (DACE). Kriging is a statistical interpolation method to build an approximation model from a set of evaluations of the
Muzaffer Balaban
doaj
, 2020 Time-dependent reliability analysis using surrogate model has drawn much attention for avoiding the high computational burden. But the surrogate training strategies of existing methods do not directly consider the estimation error of failure probability,
Chen Jiang +5 more
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Ordinary kriging as a tool to estimate historical daily streamflow records [PDF]
Hydrology and Earth System Sciences, 2016 Efficient and responsible management of water resources relies on accurate streamflow records. However, many watersheds are ungaged, limiting the ability to assess and understand local hydrology.
W. H. Farmer
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