Efficient structural reliability analysis based on adaptive Bayesian support vector regression
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Publication:2246408
DOI10.1016/j.cma.2021.114172OpenAlexW3204813890MaRDI QIDQ2246408
Ahsan Kareem, Guoji Xu, Jinsheng Wang, Yong-Le Li, Chen-Feng Li
Publication date: 16 November 2021
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2021.114172
Bayesian inferencesupport vector regressionlearning functionstructural reliability analysisadaptive surrogate models
Bayesian inference (62F15) General nonlinear regression (62J02) Reliability and life testing (62N05)
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Uses Software
Cites Work
- Adaptive virtual support vector machine for reliability analysis of high-dimensional problems
- Adaptive sparse polynomial chaos expansion based on least angle regression
- Adaptive reliability analysis for rare events evaluation with global imprecise line sampling
- An efficient Kriging based method for time-dependent reliability based robust design optimization via evolutionary algorithm
- Active learning Bayesian support vector regression model for global approximation
- An active learning method combining kriging and accelerated chaotic single loop approach (AK-ACSLA) for reliability-based design optimization
- Novel probabilistic model for searching most probable point in structural reliability analysis
- A combined radial basis function and adaptive sequential sampling method for structural reliability analysis
- A new direct second-order reliability analysis method
- Stochastic Dynamics of Structures
- Bayesian methods for support vector machines: Evidence and predictive class probabilities
- A probabilistic framework for SVM regression and error bar estimation
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