Machine learning prediction of pyrolytic gas yield and compositions with feature reduction methods: Effects of pyrolysis conditions and biomass characteristics

Machine learning prediction of pyrolytic gas yield and compositions with feature reduction methods: Effects of pyrolysis conditions and biomass characteristics

[Display omitted] •RF, SVM were applied and compared to predict pyrolytic gas yield and compositions.•Feature reduction was applied to improve performances (R2 > 0.85, RMSE  0.85, RMSE 

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Veröffentlicht in:Bioresource technology 2021-11, Vol.339, p.125581-125581, Article 125581
Hauptverfasser: Tang, Qinghui, Chen, Yingquan, Yang, Haiping, Liu, Ming, Xiao, Haoyu, Wang, Shurong, Chen, Hanping, Raza Naqvi, Salman
Format: Artikel
Sprache:eng
Schlagworte:
Agricultural Engineering
Agriculture
Biomass pyrolysis
Biotechnology & Applied Microbiology
Energy & Fuels
Feature reduction
Gas
Life Sciences & Biomedicine
Machine learning
Prediction
Science & Technology
Technology
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Beschreibung
Zusammenfassung:[Display omitted] •RF, SVM were applied and compared to predict pyrolytic gas yield and compositions.•Feature reduction was applied to improve performances (R2 > 0.85, RMSE  0.85, RMSE 
ISSN:0960-8524
1873-2976
DOI:10.1016/j.biortech.2021.125581