Pages that link to "Item:Q2136699"
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The following pages link to A novel surrogate-model based active learning method for structural reliability analysis (Q2136699):
Displaying 12 items.
- Active learning relevant vector machine for reliability analysis (Q822049) (← links)
- Surrogate assisted active subspace and active subspace assisted surrogate -- a new paradigm for high dimensional structural reliability analysis (Q2072474) (← links)
- A first order reliability method based on hybrid conjugate approach with adaptive Barzilai-Borwein steps (Q2096903) (← links)
- (Q3307515) (← links)
- (Q5129452) (← links)
- A new active-learning estimation method for the failure probability of structural reliability based on kriging model and simple penalty function (Q6094696) (← links)
- Portfolio allocation strategy for active learning kriging-based structural reliability analysis (Q6097628) (← links)
- AK-\(\mathrm{HR}^n\): an efficient adaptive kriging-based \(n\)-hypersphere rings method for structural reliability analysis (Q6116129) (← links)
- Enhanced kriging leave-one-out cross-validation in improving model estimation and optimization (Q6171247) (← links)
- An efficient and multi-fidelity reliability-based design optimization method based on a novel surrogate model local update strategy (Q6595890) (← links)
- A novel active learning method based on matrix-operation RBF model for high-dimensional reliability analysis (Q6643597) (← links)
- A review of recent advances in surrogate models for uncertainty quantification of high-dimensional engineering applications (Q6663327) (← links)
