Current position: Home >> Scientific Research >> Paper Publications

Surrogate model uncertainty quantification for active learning reliability analysis

Release Time:2024-12-05  Hits:

Date of Publication: 2024-11-15

Journal: Chinese Journal of Aeronautics

ISSN: 1000-9361

Key Words: Active Learning; Adversarial machine learning; Classification functions; Contrastive Learning; Failure Probability; Kriging model; Modeling uncertainties; Monte Carlo's simulation; Probabilistic classification; Surrogate modeling; Uncertainty quantifications

Prev One:基于SCNs的大口径陆基有源相控阵天线变形重构方法

Next One:Multi-fidelity Data Fusion Mechanism for Digital Twins via Internet of Thing