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

  • 【作者】Liang, Rui,Chen, Chao,Sun, Tingxuan,Tao, Junyu,Hao, Xiaoling,Gu, Yude,Xu, Yaru,Yan, Beibei,Chen, Guanyi
  • 【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
  • 【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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