【作者单位】a School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China c Tianjin Key Lab of Biomass Wastes Utilization/Tianjin Engineering Research Center of Bio Gas/Oil Technology, Tianjin, 300072, China b School of Science, Tibet University, Lhasa, 850012, China
【年份】2019
【页码】121723
【ISSN】0304-3894
【关键词】biomass and waste elemental composition heating value infrared spectra machine learning
【摘要】 Heterogeneity is a most serious obstacle for treatment and utilization of biomass and waste . This paper proposed a fast characterization method based on infrared spectroscopy and machine learning models, thus to roughly predict the elemental composi...
