【作者单位】School of Environmental Science and Engineering '(1)' ; Tianjin University [2] ; Tianjin [3] ; 300350 [4] ; China. [5] ; China. Electronic address: yanbeibei@tju.edu.cn. [6] ; China; School of Science [7] ; Tibet University [8] ; Lhasa [9] ; 850012 [10] ; China; Tianjin Key Lab of Biomass Wastes Utilization/Tianjin Engineering Research Center of Bio Gas/Oil Technology [11] ; 300072 [12] ; China. Electronic address: chen@tju.edu.cn. [13]
【年份】2020
【卷号】Vol.387
【页码】121723
【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...