Machine learning predicting and engineering the yield, N content, and specific surface area of biochar derived from pyrolysis of biomass
Autor: | Lijian Leng, Lihong Yang, Xinni Lei, Weijin Zhang, Zejian Ai, Zequn Yang, Hao Zhan, Jianping Yang, Xingzhong Yuan, Haoyi Peng, Hailong Li |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: | |
Zdroj: | Biochar, Vol 4, Iss 1, Pp 1-18 (2022) |
Druh dokumentu: | article |
ISSN: | 2524-7972 2524-7867 |
DOI: | 10.1007/s42773-022-00183-w |
Popis: | Highlights Yield, N content, and specific surface area of biochar predicted by machine learning Gradient boosting regression outperformed random forest, with test R2 of 0.81–0.95 Temperature, nitrogen, and ash were top features for predicting the three targets The yield and properties of biochar were engineered and experimentally verified |
Databáze: | Directory of Open Access Journals |
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