Prediction of CO2 adsorption performance in porous biochar based on machine learning
Environmental Engineering|更新时间:2025-11-14
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Prediction of CO2 adsorption performance in porous biochar based on machine learning
“In the field of emission reduction, experts used machine learning models to predict the CO2 adsorption performance of biochar and found that LGBM had the highest prediction accuracy, reaching 94%.”
Journal of Civil and Environmental EngineeringVol. 47, Issue 3, Pages: 242-250(2025)
作者机构:
1.广西大学 土木建筑工程学院;工程防灾与结构安全教育部重点实验室,南宁 530004
2.华南理工大学 亚热带建筑科学国家重点实验室,广州 510640
作者简介:
CHEN Yifei (1997- ), main research interest: low-carbon building materials, E-mail: 1993795408@qq.com.
TAN Kanghao (corresponding author), PhD, E-mail: haokangtan@163.com.
基金信息:
Guangdong Provincial Science and Technology Program International Cooperation Special Project(2021A0505030008)
CHEN Yifei,ZHANG Xiaoqing,TAN Kanghao,et al.Prediction of CO2 adsorption performance in porous biochar based on machine learning[J].Journal of Civil and Environmental Engineering,2025,47(03):242-250.
CHEN Yifei,ZHANG Xiaoqing,TAN Kanghao,et al.Prediction of CO2 adsorption performance in porous biochar based on machine learning[J].Journal of Civil and Environmental Engineering,2025,47(03):242-250. DOI: 10.11835/j.issn.2096-6717.2023.060.
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