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Interpretable machine learning assisted spectroscopy for fast characterization of biomass and waste

  • 【作者】Rui Liang,Chao Chen,Tingxuan Sun,Junyu Tao,... Guanyi Chen
  • 【作者单位】[a]School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, ChinaSchool of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China[b]School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, ChinaSchool of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China[c]Tianjin Key Lab of Biomass Wastes Utilization/Tianjin Engineering Research Center of Bio Gas/Oil Technology, Tianjin 300072, ChinaTianjin Key Lab of Biomass Wastes Utilization/Tianjin Engineering Research Center of Bio Gas/Oil Technology, Tianjin 300072, China[d]School of Science, Tibet University, Lhasa 850012, ChinaSchool of Science, Tibet University, Lhasa 850012, China
  • 【年份】2023
  • 【卷号】Vol.160 No.0
  • 【页码】90-100
  • 【ISSN】0956-053X
  • 【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...
  • 【文献类型】 期刊
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