Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Survey of Probabilistic and Non-Probabilistic Approaches
- DOI
- 10.1007/s11831-026-10688-3
- Published
- 2026-07-27
- Container
- Archives of Computational Methods in Engineering
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s11831-026-10688-3,
title = {Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Survey of Probabilistic and Non-Probabilistic Approaches},
author = {Wang-Ji Yan and Lin-Feng Mei and Jiang Mo and Costas Papadimitriou and Ka-Veng Yuen and Michael Beer},
year = {2026},
journal = {Archives of Computational Methods in Engineering},
doi = {10.1007/s11831-026-10688-3},
url = {https://doi.org/10.1007/s11831-026-10688-3}
}RIS
TY - JOUR TI - Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Survey of Probabilistic and Non-Probabilistic Approaches AU - Wang-Ji Yan AU - Lin-Feng Mei AU - Jiang Mo AU - Costas Papadimitriou AU - Ka-Veng Yuen AU - Michael Beer PY - 2026 JO - Archives of Computational Methods in Engineering DO - 10.1007/s11831-026-10688-3 UR - https://doi.org/10.1007/s11831-026-10688-3 ER -
APA
Yan, W., Mei, L., Mo, J., Papadimitriou, C., Yuen, K., & Beer, M. (2026). Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Survey of Probabilistic and Non-Probabilistic Approaches. Archives of Computational Methods in Engineering. https://doi.org/10.1007/s11831-026-10688-3
Source records
- crossref · retrieved 2026-09-25T13:50:26.442Z