首页|期刊导航|Computer Modeling in Engineering & Sciences|Developing Hybrid XGBoost Model to Predict the Strength of Polypropylene and Straw Fibers Reinforced Cemented Paste Backfill and Interpretability Insights

Developing Hybrid XGBoost Model to Predict the Strength of Polypropylene and Straw Fibers Reinforced Cemented Paste Backfill and Interpretability Insights

Yingui Qiu Enming Li Pablo Segarra Bin Xi Jian Zhou

Computer Modeling in Engineering & Sciences2025，Vol.144Issue(8)：P.1607-1629,23.

Computer Modeling in Engineering & Sciences2025，Vol.144Issue(8)：P.1607-1629,23.DOI:10.32604/cmes.2025.068211

Developing Hybrid XGBoost Model to Predict the Strength of Polypropylene and Straw Fibers Reinforced Cemented Paste Backfill and Interpretability Insights

Yingui Qiu ¹Enming Li ²Pablo Segarra ³Bin Xi ⁴Jian Zhou¹

作者信息

1. School of Resources and Safety Engineering,Central South University,Changsha,410083,China
2. School of Resources and Safety Engineering,Central South University,Changsha,410083,China Universidad Politécnica de Madrid–ETSI Minas y Energía,Ríos Rosas 21,Madrid,28003,Spain
3. Universidad Politécnica de Madrid–ETSI Minas y Energía,Ríos Rosas 21,Madrid,28003,Spain
4. Department of Civil and Environmental Engineering,Politecnico Di Milano,Piazza Leonardo da Vinci,32,Milano,20133,Italy
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摘要

关键词

Cemented paste backfill/fiber-enhanced/compressive strength prediction/XGBoost/adap-EO algorithm/SHAP

分类

矿业与冶金

引用本文复制引用

Yingui Qiu,Enming Li,Pablo Segarra,Bin Xi,Jian Zhou..Developing Hybrid XGBoost Model to Predict the Strength of Polypropylene and Straw Fibers Reinforced Cemented Paste Backfill and Interpretability Insights[J].Computer Modeling in Engineering & Sciences,2025,144(8):P.1607-1629,23.

基金项目

funded by the National Natural Science Foundation of China(Grant 42177164) （Grant 42177164）

the Distinguished Youth Science Foundation of Hunan Province of China(2022JJ10073) （2022JJ10073）

supported by China Scholarship Council with the grant number of 202006370006. （）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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