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An improved adaptive sampling scheme for the construction of explicit boundaries
6 references·16 citing·49 second hop
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this work references cited by second hop

References

  • 1996Response Surface Methodology3,819 cited
  • 2002Response Surface Methodology890 cited
  • 1993Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal735 cited
  • 2008Adaptive explicit decision functions for probabilistic design and optimization using support vector machines220 cited
  • 2003An examination of methods for approximating implicit limit state functions from the viewpoint of statistical learning theory176 cited
  • 2007Limit state function identification using Support Vector Machines for discontinuous responses and disjoint failure domains142 cited

Cited by

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  • 2019Probability and interval hybrid reliability analysis based on adaptive local approximation of projection outlines using support vector machine74 cited
  • 2018Comparative Performance of Machine Learning Algorithms for Cryptocurrency Forecasting64 cited
  • 2022Adaptive learning for reliability analysis using Support Vector Machines57 cited
  • 2012A Sequential Sampling Strategy to Improve Reliability-Based Design Optimization With Implicit Constraint Functions54 cited
  • 2017Combining multiple surrogate models to accelerate failure probability estimation with expensive high-fidelity models

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47 cited
  • 2020A novel active learning reliability method combining adaptive Kriging and spherical decomposition-MCS (AK-SDMCS) for small failure probabilities44 cited
  • 2024Adaptive support vector machine for time-variant failure probability function estimation41 cited
  • 2013A generalized “max-min” sample for surrogate update35 cited
  • 2019A new method for reliability analysis of structures with mixed random and convex variables33 cited
  • 2021Support vector machine-based importance sampling for rare event estimation29 cited
  • 2023SS-MASVM: An advanced technique for assessing failure probability of high-dimensional complex systems using the multi-class adaptive support vector machine28 cited
  • 2013Reliability assessment using probabilistic support vector machines24 cited
  • 2017Robust and Reliability-Based Aeroelastic Design of Composite Plate Wings21 cited
  • 2015Methods for high-dimensional and computationally intensive models20 cited