Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
Intelligent prediction of eco-concrete compressive strength based on SHAP-interpretable BO-XGBoost and NSGA-II multi-objective optimization
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BibTeX
@article{zhao2026intelligent,
title = {{Intelligent prediction of eco-concrete compressive strength based on SHAP-interpretable BO-XGBoost and NSGA-II multi-objective optimization}},
author = {Huadong Zhao and Jianhui He and Jiaxing Ren and Jianyue He and Zhihui Liu and Yan Zhao},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-77562-x},
url = {https://www.nature.com/articles/s41598-026-77562-x},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Intelligent prediction of eco-concrete compressive strength based on SHAP-interpretable BO-XGBoost and NSGA-II multi-objective optimization
AU - Huadong Zhao
AU - Jianhui He
AU - Jiaxing Ren
AU - Jianyue He
AU - Zhihui Liu
AU - Yan Zhao
PY - 2026
DA - 2026/10/23
JO - Scientific Reports
DO - 10.1038/s41598-026-77562-x
UR - https://www.nature.com/articles/s41598-026-77562-x
SN - 2045-2322
ER -