Combination of hyperspectral imaging and machine learning models for fast characterization and classification of municipal solid waste

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【作者】Tao, Junyu，Gu, Yude，Hao, Xiaoling，Liang, Rui，Wang, Biyu，Cheng, Zhanjun，Yan, Beibei，Chen, Guanyi
【作者单位】¹ Tianjin Univ Commerce, Sch Mech Engn, Tianjin 300134, Peoples R China. ;² Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300350, Peoples R China. ;³ Tianjin Engn Res Ctr Bio Gas Oil Technol, Tianjin Key Lab Biomass Wastes Utilizat, Tianjin 300072, Peoples R China. ;⁴ Tibet Univ, Sch Sci, Lhasa 850012, Peoples R China.
【年份】2023
【卷号】Vol.188
【ISSN】0921-3449
【关键词】ARTIFICIAL NEURAL-NETWORK QUANTITATIVE-EVALUATION ROBUSTNESS VALIDATION IMPACT DAMAGE PLASTICS
【摘要】 Determining thermochemical properties and eliminating inorganic components of municipal solid waste are crucial to its thermochemical treatment. Traditional characterization and classification technologies have shortcomings including long duration, ...
【文献类型】期刊