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A weighted ML-Kriging 3D geological model integrated with deep iterative optimization

Huaqiang Liu Zhongwen Yue Wei Liu Qingyu Jin Kejun Xue Jiayao Chen

Green and Smart Mining Engineering2026,Vol.3Issue(2):P.166-179,14.
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Green and Smart Mining Engineering2026,Vol.3Issue(2):P.166-179,14.DOI:10.1016/j.gsme.2026.01.004

A weighted ML-Kriging 3D geological model integrated with deep iterative optimization

Huaqiang Liu 1Zhongwen Yue 1Wei Liu 1Qingyu Jin 1Kejun Xue 1Jiayao Chen1

作者信息

  • 1. School of Mechanics and Civil Engineering,China University of Mining and Technology(Beijing),Beijing 100083,China
  • 折叠

摘要

关键词

Mine blasting/Geological modeling/Spatially constrained anchor points/Spatial feature engineering/Machine learning

分类

矿业与冶金

引用本文复制引用

Huaqiang Liu,Zhongwen Yue,Wei Liu,Qingyu Jin,Kejun Xue,Jiayao Chen..A weighted ML-Kriging 3D geological model integrated with deep iterative optimization[J].Green and Smart Mining Engineering,2026,3(2):P.166-179,14.

基金项目

supported by the National Natural Science Foundation of China(Nos.52174094,52474117,and 12002366). (Nos.52174094,52474117,and 12002366)

Green and Smart Mining Engineering

2950-5550

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