Bioresource technologyMachine LearningBiomassGases
High-precision multi-target prediction and interpretability analysis of biomass gasification via ensemble machine learning.
Yujun Guo, Huimin Liu, Ruijuan Mei, Shunfeng Wang, Zhikang Yan
Published: 202610.1016/j.biortech.2025.133863
Abstract
Machine learning exhibits notable advantages in simulating complex thermochemical processes such as gasification, with its robust nonlinear fitting capabilities effectively capturing the coupling relationships among multiple variables. In this study,…
Preview only. Read the full abstract at the source