当前位置:
X-MOL 学术
›
Int. J. Green Energy
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches
International Journal of Green Energy ( IF 3.3 ) Pub Date : 2024-03-14 , DOI: 10.1080/15435075.2024.2326076 Van Giao Nguyen 1 , Prabhakar Sharma 2 , Ümit Ağbulut 3 , Huu Son Le 4 , Dao Nam Cao 5 , Marek Dzida 6 , Sameh M. Osman 7 , Huu Cuong Le 8 , Viet Dung Tran 5
International Journal of Green Energy ( IF 3.3 ) Pub Date : 2024-03-14 , DOI: 10.1080/15435075.2024.2326076 Van Giao Nguyen 1 , Prabhakar Sharma 2 , Ümit Ağbulut 3 , Huu Son Le 4 , Dao Nam Cao 5 , Marek Dzida 6 , Sameh M. Osman 7 , Huu Cuong Le 8 , Viet Dung Tran 5
Affiliation
Examining the game-changing possibilities of explainable machine learning techniques, this study explores the fast-growing area of biochar production prediction. The paper demonstrates how recent a...
中文翻译:
通过实施可解释的机器学习方法,改进对各种生物质来源的生物炭生产的预测
这项研究探讨了可解释的机器学习技术改变游戏规则的可能性,探索了快速增长的生物炭生产预测领域。该论文展示了最近...
更新日期:2024-03-18
中文翻译:
通过实施可解释的机器学习方法,改进对各种生物质来源的生物炭生产的预测
这项研究探讨了可解释的机器学习技术改变游戏规则的可能性,探索了快速增长的生物炭生产预测领域。该论文展示了最近...