Machine learning model with a novel self-adjustment method: A powerful tool for predicting biomass ash fusibility and enhancing its potential applications
Release Time:2024-11-19 Hits:
Indexed by: Journal Papers
Document Code: 403662
Date of Publication: 2024-12-10
Journal: RENEWABLE ENERGY
Volume: 237
ISSN: 0960-1481
Key Words: ALKALI; BEHAVIOR; CHEMICAL-COMPOSITION; CLASSIFICATION; COMBUSTION; FUSION CHARACTERISTICS; HYDROCHAR; PYROLYSIS; STEAM GASIFICATION; TEMPERATURE