【作者单位】1School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China;2School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China;3Tianjin Key Lab of Biomass Wastes Utilization/Tianjin Engineering Research Center of Bio Gas/Oil Technology, Tianjin 300072, China;4School of Science, Tibet University, Lhasa 850012, China
【年份】2023
【卷号】Vol.160
【页码】90-100
【ISSN】0956-053X
【关键词】Biomass and waste Elemental composition Feature selection Heating value Interpretable machine learning.
【摘要】 The combination of machine learning and infrared spectroscopy was reported as effective for fast characterization of biomass and waste . However, this characterization process is lack of interpretability towards its chemical insights, leading to less...
