Transfer prior knowledge from surrogate modelling: A meta-learning approach-Reference-Cited by-同舟云学术

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Transfer prior knowledge from surrogate modelling: A meta-learning approach

Published:2022-02 Issue: Volume:260 Page:106719
ISSN:0045-7949
Container-title:Computers & Structures
language:en
Short-container-title:Computers & Structures

Author:

Cheng Minghui,Dang Chao,Frangopol Dan M.,Beer Michael,Yuan Xian-Xun

Funder

China Scholarship Council

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,General Materials Science,Modeling and Simulation,Civil and Structural Engineering

Reference88 articles.

1. Sudret B. Meta-models for structural reliability and uncertainty quantification, arXiv preprint arXiv:1203.2062; 2012.

2. Comparison of surrogate-based uncertainty quantification methods for computationally expensive simulators;Owen;SIAM/ASA J Uncertain Quant,2017

3. Adaptive experiment design for probabilistic integration;Wei;Comput Methods Appl Mech Eng,2020

4. Surrogate-assisted global sensitivity analysis: an overview;Cheng;Struct Multidiscip Optim,2020

5. Adaptive approaches in metamodel-based reliability analysis: a review;Teixeira;Struct Saf,2021

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