Ying-jie Zhao, Jian-cheng Wang, Qun Yi https://doi.org/10.1016/j.ces.2024.120734AbstractCoupling of green hydrogen with the coal chemical industry is pivotal for clean coal utilization and low-carbon transition. This study aims to predict syngas composition efficiently using artificial intelligence-assisted machine learning models, particularly the BP-MLPNN model, addressing raw material divers...
Bridging uncertainty gaps with artificial intelligence-assisted syngas precise prediction in coal gasification