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Updated: Sep 15, 2025

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先进的混合机器学习模型与可解释的AI用于预测粘土土的残余摩擦角度

Mawuko Luke Yaw Ankah1, Shalom Adjei-Yeboah2, Yao Yevenyo Ziggah3

  • 1Geological Engineering Department, University of Mines and Technology, P. O. Box 237, Tarkwa, Ghana. mlyankah@umat.edu.gh.

Scientific reports
|July 16, 2025
PubMed
概括

这项研究引入了先进的机器学习模型,包括GrowNet,以预测粘土土壤的余摩擦角度. GrowNet显著提高了预测准确度,为地质工程提供了实用价值.

关键词:
可以解释的AI.在GrowNet的成长中.混合型 机器学习 机器学习剩余的摩擦角度的摩擦.

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