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Slope Stability Prediction Based on CCO-Optimized XGBoost Model

Achieving rapid and accurate prediction of slope stability is a key scientific issue in slope engineering. However, slope stability is governed by multi-factor coupling effects and exhibits strong nonlinear characteristics, and traditional slope stability prediction methods have clear limitations in...

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Principais autores: Changqing Du, Chengliang Zhang, Jiwei Sun, Daochun Wan, Xin Pang
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2026-06-01
coleção:Eng
Assuntos:
CCO algorithm
XGBoost
machine learning
slope stability analysis
SHAP analysis
slope engineering
Acesso em linha:https://www.mdpi.com/2673-4117/7/6/262
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