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Updated: Jan 14, 2026

Quantitative Hardness Measurement by Instrumented AFM-indentation
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基于岩石属性的Cerchar磨损度指数预测,利用混合软计算技术

Mohammad Matin Rouhani1, Alireza Dolatshahi2, Mahdi Hasanipanah3,4

  • 1Department of Mining Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. matrouhani1999@gmail.com.

Scientific reports
|October 28, 2025
PubMed
概括

这项研究引入了一种先进的AI模型,用于预测Cerchar磨损度指数 (CAI),这对于道开采至关重要. 像AOA-LightGBM这样的优化模型显著提高了预测准确性,超过了机械挖掘的传统方法.

关键词:
在Cerchar磨损度指数中,Cerchar磨损度指数是什么?哈里斯·霍克斯优化优化轻GBMM 轻GBM 轻GBM 轻GBM爬行动物搜索优化 爬行动物搜索优化在XGBoost上使用.

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