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Fast characterization of biomass and waste by infrared spectra and machine learning models.

  • 【作者】Tao, Junyu,Liang, Rui,Li, Jian,Yan, Beibei,Chen, Guanyi,Cheng, Zhanjun,Li, Wanqing,Lin, Fawei,Hou, Lian
  • 【作者单位】1 School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China 2 School of Science, Tibet University, Lhasa, 850012, China 3 Tianjin Key Lab of Biomass Wastes Utilization/Tianjin Engineering Research Center of Bio Gas/Oil Technology, Tianjin, 300072, China
  • 【年份】2020
  • 【卷号】Vol.387
  • 【页码】121723
  • 【ISSN】0304-3894;1873-3336
  • 【关键词】Biomass and waste Elemental composition Heating value Infrared spectra Machine learning 
  • 【摘要】 A new method is proposed to characterize chemical features of biomass and waste. • The method is based on infrared spectroscopy and machine learning models. • The method is fast and the optimal accuracy could reach as high as 95.54%. • The robustness...
  • 【文献类型】 期刊
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