Discussion of “Applying Knowledge-Guided Machine Learning to Slope Stability Prediction”

Wengui Huang, Jiayao Chen, Jian Ji

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a discussion of “Applying Knowledge-Guided Machine Learning to Slope Stability Prediction” by Te Pei, Tong Qiu, and Chaopeng Shen. https://doi.org/10.1061/JGGEFK.GTENG-11053.
Data-driven approaches work best with big data. However, geotechnical case histories are often limited, thereby restricting the application of data-driven approaches. The authors addressed this problem by generating additional data using domain knowledge–based models, and tested this concept with the slope stability problem. The paper is interesting and will serve as a useful reference on this topic.
This discussion provides valuable insights and highlights several errors in the database used by the authors. In addition, potential limitations of the knowledge-based models used in the paper are also discussed.
Original languageEnglish
JournalJournal of Geotechnical and Geoenvironmental Engineering
Volume150
Issue number9
Early online date15 Jul 2024
DOIs
Publication statusPublished - 1 Sept 2024

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