Nonhierarchical multi‐model fusion using spatial random processes-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Nonhierarchical multi‐model fusion using spatial random processes

Published:2015-09-29 Issue:7 Volume:106 Page:503-526
ISSN:0029-5981
Container-title:International Journal for Numerical Methods in Engineering
language:en
Short-container-title:Int. J. Numer. Meth. Engng

Author:

Chen Shishi¹²³,Jiang Zhen³,Yang Shuxing¹²,Apley Daniel W.⁴,Chen Wei³

Affiliation:

1. School of Aerospace Engineering Beijing Institute of Technology Beijing 100081 China

2. Key Laboratory of Dynamics and Control of Flight Vehicle Ministry of Education Beijing 100081 China

3. Department of Mechanical Engineering Northwestern University Evanston Illinois 60208 Evanston USA

4. Department of Industrial Engineering and Management Science Northwestern University Evanston Illinois 60208 USA

Funder

National Science Foundation

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nme.5123

Reference50 articles.

1. Integrated Analysis of Computer and Physical Experiments

2. Bayesian Surrogates Applied to Conceptual Stages of the Engineering Design Process

3. El‐BeltagyMA WrightWA.Gaussian processes for model fusion. InArtificial Neural Networks—ICANN 2001:Vienna Austria 2001;376–383.

4. An engineering design methodology with multistage Bayesian surrogates and optimal sampling

5. Bayesian calibration of computer models

Cited by 28 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 novel multi-fidelity cokriging model assisted by multiple non-hierarchical low-fidelity datasets;Structural and Multidisciplinary Optimization;2024-03-13

2. A multi-fidelity surrogate modeling method in the presence of non-hierarchical low-fidelity data;Aerospace Science and Technology;2024-03

3. A Latent Variable Approach for Non-Hierarchical Multi-Fidelity Adaptive Sampling;Computer Methods in Applied Mechanics and Engineering;2024-03

4. A novel multi-fidelity surrogate modeling method for non-hierarchical data fusion;Engineering with Computers;2024-02-04

5. A novel multi-fidelity surrogate modeling framework integrated with sequential sampling criterion for non-hierarchical data;Structural and Multidisciplinary Optimization;2024-01-29

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