Results 21 to 30 of about 9,630 (234)
Pca & Kriging For Surrogate Models
2nd General Meeting and 2nd Workshop on Smart Energy Carriers in Industry, 2016 Presentation at the 2nd General Meeting and 2nd Workshop on Smart Energy Carriers in ...
Aversano, Gianmarco +2 more
openaire +2 more sources
Kriging Interpolation in Modelling Tropospheric Wet Delay [PDF]
Atmosphere, 2020 This contribution implements the Kriging interpolation in predicting the tropospheric wet delays using global navigation satellite system networks. The predicted tropospheric delays can be used in strengthening the precise point positioning models and numerical weather prediction models.
Hongyang Ma +4 more
openaire +4 more sources
Applied Sciences, 2019 The utilization of modal frequency sensors is a feasible and effective way to monitor the settlement problem of the transmission tower foundation. However, the uncertainties and interference in the real operation environment of transmission towers highly
Jiajia Shi +2 more
doaj +1 more source
Small ensembles of kriging models for optimization
CoRR, 2016 The Efficient Global Optimization (EGO) algorithm uses a conditional Gaus-sian Process (GP) to approximate an objective function known at a finite number of observation points and sequentially adds new points which maximize the Expected Improvement criterion according to the GP.
Hossein Mohammadi +2 more
openaire +2 more sources
Assessment of Groundwater Quality Spatial Distribution and Appointment Optimize Network of Shahrkord Plain Aquifer Using Geostatistical Methods [PDF]
پژوهشهای آبخیزداری, 2019 As the most valuable natural resources, protection and management of groundwater is vital. One of the best ways to protect groundwater resources is monitoring groundwater quality spatial variationsand then managing the water resources exploitations and ...
Mehdi Abdollahi Mansourkhani +3 more
doaj +1 more source
Kriging modelization in predicting metal sheet elongation [PDF]
Quality and Reliability Engineering International, 2018 AbstractModern industries are increasingly replacing real experiments with non‐stochastic simulation models due to their restrained costs and growing reliability. The non‐stochastic simulator used in this paper is the Finite Element simulation code (FEM), a widely used numerical technique for the engineering problems modeled by a system of partial ...
Vicario G, Giraudo MT, Calì V.
openaire +2 more sources
Kriging, co-kriging and space mapping for microwave circuit modeling
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 +2 more
openaire +2 more sources
A Comparative Study of Different Multi-Fidelity Kriging Models for Reliability Analysis
Applied SciencesThe integration of active learning methods and multi-fidelity (MF) Kriging models has been demonstrated to effectively reduce the number of high-fidelity (HF) samples required for reliability analysis.
Shichao Feng +5 more
doaj +1 more source
Applied Sciences, 2019 Dynamic model updating based on finite element method (FEM) has been widely investigated for structural damage identification, especially for static structures. Despite the substantial advances in this method, the key issue still needs to be addressed to
Zhiwen Lu, Yong Lv, Huajiang Ouyang
doaj +1 more source
Ordinary kriging for the estimation of vein type copper deposit: A case study of the Chelkureh, Iran [PDF]
Journal of Mining and Metallurgy. Section A: Mining, 2015 Estimation of mineral resources and reserves with low values of error is essential in mineral exploration. The aim of this study is to estimate and model a vein type copper deposit using ordinary kriging method.
Daya Ali Akbar
doaj +1 more source