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High-Dimensional Uncertainty Quantification of High-Pressure Turbine Vane Based on Multifidelity Deep Neural Networks

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References

2016Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets425 cited
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2020A MULTI-FIDELITY NEURAL NETWORK SURROGATE SAMPLING METHOD FOR UNCERTAINTY QUANTIFICATION54 cited
2019Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence31 cited
2013Uncertainty Quantification and Conjugate Heat Transfer: A Stochastic Analysis30 cited
2015Analysis and computation of the elastic wave equation with random coefficients28 cited
2021Data-driven low-fidelity models for multi-fidelity Monte Carlo sampling in plasma micro-turbulence analysis19 cited

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2024Sensitivity analysis and robust optimization to high-dimensional uncertainties of compressors with active subspace method10 cited

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