Explainable AI models for predicting liquefaction-induced lateral spreading
Autor(en): |
Cheng-Hsi Hsiao
Krishna Kumar Ellen M. Rathje |
---|---|
Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Frontiers in Built Environment, Februar 2024, v. 10 |
DOI: | 10.3389/fbuil.2024.1387953 |
Abstrakt: |
Earthquake-induced liquefaction can cause substantial lateral spreading, posing threats to infrastructure. Machine learning (ML) can improve lateral spreading prediction models by capturing complex soil characteristics and site conditions. However, the “black box” nature of ML models can hinder their adoption in critical decision-making. |
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Datenseite - Reference-ID
10789910 - Veröffentlicht am:
20.06.2024 - Geändert am:
20.06.2024