Novel learning functions design based on the probability of improvement criterion and normalization techniques
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Modeling and Simulation
Reference31 articles.
1. Sensitivity analysis with mixture of epistemic and aleatory uncertainties;Guo;AIAA J.,2007
2. Sequential importance sampling for structural reliability analysis;Papaioannou;Struct. Saf.,2016
3. Efficient reliability assessment of structural dynamic systems with unequal weighted quasi-Monte Carlo simulation;Xu;Comput. Struct.,2016
4. A hybrid self-adaptive conjugate first order reliability method for robust structural reliability analysis;Keshtegar;Appl. Math Model,2018
5. Enhanced sequential approximate programming using second order reliability method for accurate and efficient structural reliability-based design optimization;Meng;Appl. Math Model,2018
Cited by 6 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. Research on Transfer Learning from Large-scale Dataset to Few-Shot Image with Similar Background;Journal of Imaging Science and Technology;2024-05-01
2. Refined parallel adaptive Bayesian quadrature for estimating small failure probabilities;Reliability Engineering & System Safety;2024-04
3. An improved adaptive Kriging model-based metamodel importance sampling reliability analysis method;Engineering with Computers;2024-03-12
4. Fast convergence strategy for adaptive structural reliability analysis based on kriging believer criterion and importance sampling;Reliability Engineering & System Safety;2024-02
5. RBIK-SS: A parallel adaptive structural reliability analysis method for rare failure events;Reliability Engineering & System Safety;2023-11
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