基于近似贝叶斯求积与主动机器学习的模型参数概率校准

Pengfei Wei; Masaru Kitahara; Matthias G R Faes; Michael Beer

doi:10.1088/3050-2454/ad9f62

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基于近似贝叶斯求积与主动机器学习的模型参数概率校准

Papers | 更新时间：2025-08-22

- 基于近似贝叶斯求积与主动机器学习的模型参数概率校准
- Probabilistic calibration of model parameters with approximate Bayesian quadrature and active machine learning
- “在可靠性工程领域，贝叶斯模型更新（BMU）是一个至关重要的挑战。专家研究人员开发了一系列具有闭式表达式的新采集函数，以加速近似贝叶斯求积法，从而以所需的精度解决BMU问题。这在勘探和开采之间提供了更好的权衡，实现了高精度和高效率。”
- 可靠性科学与工程学报（英文） 2025年1卷第1期页码：80-101
- 作者机构：
  
  School of Power and Energy, Northwestern Polytechnical University, Xi'an 710072, People's Republic of China
  Advanced Power Research Institute of Northwestern Polytechnical University, Chengdu, Sichuan, People's Republic of China
  Department of Civil Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan
  Chair for Reliability Engineering, TU Dortmund University, Leonhard-Euler Strasse 5, 44227Dortmund, Germany
  Institute for Risk and Reliability, Leibniz University Hannover, Callinstr. 34, Hannover 30167, Germany
  Department of Civil and Environmental Engineering, University of Liverpool, Liverpool L69 3BX, United Kingdom
  International Joint Research Center for Resilient Infrastructure & International Joint Research Center for Engineering Reliability and Stochastic Mechanics, Tongji University, Shanghai 200092, People's Republic of China
- 作者简介：
  
  [ "Assoc. Prof. Pengfei Wei is an experienced principal investigator, in the directions of Bayesian intelligent computing, model VV&UQ, and reliability engineering, and is affiliated to the school of power and energy of Northwestern Polytechnical University, China." ]
  [ "Dr. Masaru Kitahara is Assistant Professor at Department of Civil Engineering of the University of Tokyo and works in the Bridge and Wind Engineering Laboratory." ]
  [ "Prof. Dr. Matthias Faes is head of the Chair for Reliability Engineering and full professor at the mechanical engineering department of TU Dortmund University." ]
  [ "Prof. Dr. Michael Beer is the head of the Institute for Risk and Reliability at Leibniz University Hannover as well as part-time Professor of Uncertainty in Engineering in the University of Liverpool, UK and a Guest Professor at Tongji University, China." ]
- 基金信息：
- DOI：10.1088/3050-2454/ad9f62
  中图分类号：
- 收稿：2024-10-21，
  
  修回：2024-11-19，
  
  录用：2024-12-09，
  
  网络出版：2025-01-22，
  
  纸质出版：2025-03
- 稿件说明：
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Pengfei Wei, Masaru Kitahara, Matthias G R Faes, et al. Probabilistic Calibration of Model Parameters with Approximate Bayesian Quadrature and Active Machine Learning[J]. Journal of Reliability Science and Engineering, 2025, 1: 015003.

Pengfei Wei, Masaru Kitahara, Matthias G R Faes, et al. 基于近似贝叶斯求积与主动机器学习的模型参数概率校准[J]. 可靠性科学与工程学报（英文）, 2025, 1: 015003.
Pengfei Wei, Masaru Kitahara, Matthias G R Faes, et al. Probabilistic Calibration of Model Parameters with Approximate Bayesian Quadrature and Active Machine Learning[J]. Journal of Reliability Science and Engineering, 2025, 1: 015003. DOI： 10.1088/3050-2454/ad9f62.

Pengfei Wei, Masaru Kitahara, Matthias G R Faes, et al. 基于近似贝叶斯求积与主动机器学习的模型参数概率校准[J]. 可靠性科学与工程学报（英文）, 2025, 1: 015003. DOI： 10.1088/3050-2454/ad9f62.

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基于近似贝叶斯求积与主动机器学习的模型参数概率校准

Probabilistic calibration of model parameters with approximate Bayesian quadrature and active machine learning

DOI：10.1088/3050-2454/ad9f62