对比主成分分析的近红外光谱测量及其在水果农药残留识别中的应用
[1] Niu D, Dy J, Jordan M. Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011, 15: 552.
[2] Jolliffe I T, Cadima J. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2016, 374(2065): 20150202. doi: org/10.1098/rsta.2015.0202.
[3] Wetzel S J. Physical Review E, 2017, 96(2): 022140.
[4] Wu L, Shen C, van den Hengel A. Pattern Recognition, 2017, 65(0031-3203): 238.
[5] Wu Y C, Hwang H T, Hsu C C, et al. INTERSPEECH, 2016, 567: 1652.
[6] Gisbrecht A, Schulz A, Hammer B. Neurocomputing, 2015, 147(0925-2312): 71.
[7] Abid A, Zhang M J, Bagaria V K, et al. Nature Communications, 2018, 9(1): 2134.
[8] Severson K, Ghosh S, Ng K. arXiv preprint arXiv: 1811.06094, 2018.
[9] SUN Jun, ZHOU Xin, MAO Han-ping, et al(孙 俊, 周 鑫, 毛罕平, 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2016, 32(19): 302.
陈淑一, 赵全明, 董大明. 对比主成分分析的近红外光谱测量及其在水果农药残留识别中的应用[J]. 光谱学与光谱分析, 2020, 40(3): 917. CHEN Shu-yi, ZHAO Quan-ming, DONG Da-ming. Application of Near Infrared Spectroscopy Combined with Comparative Principal Component Analysis for Pesticide Residue Detection in Fruit[J]. Spectroscopy and Spectral Analysis, 2020, 40(3): 917.