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On the construction of hybrid algorithms to predict biochar yield as a function of pyrolysis parameters
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DOI：10.1016/j.ecmx.2026.102047.png)
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Abstract
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• Estimation of biochar yield using hybrid methods. • GBDT-ACO model achieved the highest predictive accuracy. • Results highlight the critical influence of ash content, residence time, and peak temperature.
Keywords:
SHAP interpretability
Machine learning
Hyperparameter tuning
Sustainable biomass utilization
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