Hybrid Machine Learning Model for Predicting Shear Strength of Rock Joints

Hybrid Machine Learning Model for Predicting Shear Strength of Rock Joints

The accurate prediction of joint shear strength is crucial for rock mass engineering design and geological hazard assessment. However, traditional machine learning (ML) models often suffer from local optima and limited generalization ability when dealing with complex nonlinear problems, thereby comp...

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Bibliographic Details
Main Authors: Daxing Lei, Yaoping Zhang, Zhigang Lu, Hang Lin, Yifan Chen
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
rock joints
shear strength
machine learning
slime mold algorithm
Online Access:https://www.mdpi.com/2076-3417/15/13/7097
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