Machine learning insights in predicting heavy metals interaction with biochar

被引：0
|
作者：
Xin Wei
Yang Liu
Lin Shen
Zhanhui Lu
Yuejie Ai
Xiangke Wang
机构：
[1] North China Electric Power University,School of Control and Computer Engineering
[2] North China Electric Power University,School of Mathematics and Physics
[3] North China Electric Power University,MOE Key Laboratory of Resources and Environmental Systems Optimization, College of Environment and Chemical Engineering
[4] Beijing Normal University,Key Laboratory of Theoretical and Computational Photochemistry of Ministry of Education, College of Chemistry
来源：
Biochar | / 6卷
关键词：
Biochar; Heavy metals; Interaction mechanism; Machine learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A high growth rate of studies on the application of machine learning (ML) in biochar in recent years.ML interpretability of heavy metals (HMs) interaction mechanisms with biochar is explicated emphatically.Challenges and perspectives of ML application in the removal of HMs by biochar.Combining an advanced machine learning technique to achieve better predicted performance.
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