Machine learning prediction of biochar-specific surface area based on plant characterization information
文献类型： 外文期刊
作者： Jiang, Zihao 1 ; Xia, Qi 1 ; Lu, Xueying 1 ; Yue, Wenjing 1 ; Chen, Aihui 2 ; Liu, Xiaogang 1 ; Chen, Juhui 1 ; Zhao, Chenxi 1 ;
作者机构： 1.Harbin Univ Sci & Technol, Sch Mech & Power Engn, Harbin 150080, Peoples R China
2.Heilongjiang Acad Agr Sci, Heilongjiang Acad Agr Machinery Sci, Harbin 150086, Peoples R China
关键词： Machine learning; Biomass; Pyrolysis; Biochar; Specific surface area; Plant organs
期刊名称：RENEWABLE ENERGY （ 影响因子：9.1； 五年影响因子：8.3 ）
ISSN： 0960-1481
年卷期： 2025 年 243 卷
页码：
收录情况： SCI
摘要： Biochar has a wide range of environmental applications. The use of machine learning technology to predict the characteristics of biochar adsorption is a hot topic in current research. This paper proposes the concept of plant organs (PO) information for the first time. Based on a deep neural network (DNN) and light gradient boosting machine (LightGBM), a machine learning prediction model was created for the specific surface area of biochar, with 70 % of the 187 collected data points used as the training set and 30 % as the test set. The findings demonstrate that adding PO characteristics enhances the model's performance and accuracy, with the DNN model outperforming the LightGBM model. With the DNN model, the RMSE is lowered by 7.58, the MAE is reduced by 4.52, and the R2 increases from 0.897 to 0.917. Combined with Pearson correlation coefficient (PCC) analysis and Shapley additive explanations (SHAP) analysis, pyrolysis temperature (PT) is a key feature affecting the specific surface area of biochar, and PO significantly impacts the model's performance. By identifying and selecting specific plant organs for biochar production, researchers can more effectively optimize the biochar production process.
- 相关文献
作者其他论文 更多>>
-
Research on prediction of energy density and power density of biomass carbon-based supercapacitors based on machine learning
作者：Lu, Xueying;Zhao, Chenxi;Tu, Huanyu;Wang, Siyu;Chen, Aihui;Zhang, Haibin
关键词：Supercapacitor; Machine learning; Biomass carbon; Energy density; Power density
-
A study on machine learning prediction of bio-oil yield from biomass and plastic Co-pyrolysis
作者：Zhao, Chenxi;Xia, Qi;Wang, Siyu;Lu, Xueying;Yue, Wenjing;Chen, Juhui;Chen, Aihui
关键词：Biomass; Bio-oil; Co-pyrolysis; Machine learning; Plastic; Yield
-
Prediction of CO2 adsorption performance of biochar based on machine learning
作者：Zhao, Chenxi;Yue, Wenjing;Xia, Qi;Yang, Hang;Liu, Xiaogang;Chen, Aihui
关键词：Biochar; CO2 adsorption; Machine learning; Activation conditions; SHAP explanations
-
Prediction of Soil pH Improvement Through Biochar: A Machine Learning Based Solution
作者：Zhao, Chenxi;Yang, Hang;Zhang, Yiming;Xia, Qi;Yue, Wenjing;Liu, Xiaogang;Chen, Aihui
关键词：biochar; DNN; LightGBM; machine learning; pH
-
Research on specific capacitance prediction of biomass carbon-based supercapacitors based on machine learning
作者：Zhao, Chenxi;Lu, Xueying;Tu, Huanyu;Yang, Yulong;Wang, Siyu;Chen, Aihui;Zhang, Haibin
关键词：Machine learning; Biomass; Porous carbon; Supercapacitor; Capacitance
-
Changes in tillage characteristics of albic soil with various soil amendment materials
作者：Chen, Aihui;Wang, Qiuju;Zhang, Haibin;Liang, Yucheng;Qi, Zhongjun;Zhou, Weiyan;Li, Jingyang;Tu, Huanyu
关键词：albic soil; biochar; cultivability; fertilizer; soil consistency limits; straw
-
Large-Scale Analysis of Combining Ability and Heterosis for Development of Hybrid Maize Breeding Strategies Using Diverse Germplasm Resources
作者：Yu, Kanchao;Wang, Zhenhua;Yu, Kanchao;Wang, Hui;Liu, Xiaogang;Xu, Cheng;Li, Zhiwei;Xu, Xiaojie;Liu, Jiacheng;Xu, Yunbi;Yu, Kanchao;Xu, Yunbi;Xu, Yunbi;Xu, Yunbi
关键词：maize; multiple-hybrid population; heterosis; heterotic groups; combining ability
