Leveraging the nugget parameter for efficient Gaussian process modeling-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Leveraging the nugget parameter for efficient Gaussian process modeling

Published:2018-02-06 Issue:5 Volume:114 Page:501-516
ISSN:0029-5981
Container-title:International Journal for Numerical Methods in Engineering
language:en
Short-container-title:Int J Numer Methods Eng

Author:

Bostanabad Ramin¹^ORCID,Kearney Tucker¹^ORCID,Tao Siyu¹,Apley Daniel W.²,Chen Wei¹³^ORCID

Affiliation:

1. Department of Mechanical Engineering Northwestern University Evanston Illinois USA

2. Department of Industrial Engineering and Management Sciences Northwestern University Evanston Illinois USA

3. Department of Materials Science and Engineering Northwestern University Evanston Illinois USA

Funder

National Science Foundation

Air Force Office of Scientific Research

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nme.5751

Reference61 articles.

1. Design and Analysis of Computer Experiments

2. Characterization of the Optical Properties of Turbid Media by Supervised Learning of Scattering Patterns

3. TaoS ShintaniK BostanabadR et al.Enhanced Gaussian process metamodeling and collaborative optimization for vehicle suspension design optimization. Paper presented at: ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference;2017;Cleveland OH.

4. Comparative studies of metamodelling techniques under multiple modelling criteria

5. Efficient optimization processes using kriging approximation models in electrical impedance tomography

Cited by 53 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A dimension reduction-based Kriging modeling method for high-dimensional time-variant uncertainty propagation and global sensitivity analysis;Mechanical Systems and Signal Processing;2024-10

2. GP+: A Python library for kernel-based learning via Gaussian processes;Advances in Engineering Software;2024-09

3. Multi-objective Bayesian shape optimization of an industrial hydrodynamic separator using unsteady Eulerian-Lagrangian simulations;Optimization and Engineering;2024-08-17

4. Numerical Exploration of the Shielding Effect of Vegetation on Nearshore Structures under Wave Run-Up Loading;Journal of Engineering Mechanics;2024-08

5. Approach for contact medical device development via integrated testing, skeletal muscle modeling, and finite element analysis;Journal of the Mechanical Behavior of Biomedical Materials;2024-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3