Discussion of “Applying Knowledge-Guided Machine Learning to Slope Stability Prediction”-Reference-Cited by-同舟云学术

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

Published:2024-09 Issue:9 Volume:150 Page:
ISSN:1090-0241
Container-title:Journal of Geotechnical and Geoenvironmental Engineering
language:en
Short-container-title:J. Geotech. Geoenviron. Eng.

Author:

Huang Wengui¹^ORCID,Chen Jiayao²,Ji Jian³^ORCID

Affiliation:

1. Lecturer, School of Computing, Engineering and Digital Technologies, Teesside Univ., Middlesbrough TS1 3BA, UK (corresponding author). ORCID: .

2. Associate Professor, Key Laboratory for Urban Underground Engineering of Ministry of Education and School of Civil Engineering, Beijing Jiaotong Univ., Beijing 100044, China.

3. Professor, Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai Univ., Nanjing 210098, China; Adjunct Professor, Dept. of Civil Engineering, Monash Univ., Clayton, VIC 3800, Australia. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JGGEFK.GTENG-12558

Reference11 articles.

1. Stability Coefficients for Earth Slopes

2. Neural network estimation of slope stability;Feng X.;J. Eng. Geol.,1995

3. Li J. and M. Dong. 2012. “Method to predict slope safety factor using SVM.” In Proc. Earth and Space 2012: Engineering Science Construction and Operations in Challenging Environments. Reston VA: ASCE. https://doi.org/10.1061/9780784412190.095.

4. Li J. and F. Wang. 2010. “Study on the forecasting models of slope stability under data mining.” In Proc. Earth and Space 2010: Engineering Science Construction and Operations in Challenging Environments. Reston VA: ASCE. https://doi.org/10.1061/41096(366)77.

5. Development of a model for analysis of slope stability for circular mode failure using genetic algorithm