Machine learning models for predicting biochar properties from lignocellulosic biomass torrefaction
This study developed six machine learning models to predict the biochar properties from the dry torrefaction of lignocellulosic biomass by using biomass characteristics and torrefaction conditions as input variables. After optimization, gradient boosting machines were the optimal model, with the hig...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Elsevier
2024
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/45459/ https://doi.org/10.1016/j.biortech.2024.130519 |
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