Spectroscopy and Spectral Analysis, Volume. 37, Issue 8, 2493(2017)
A New Multivariate Classification and Identification Method of Spectroscopy
[1] [1] Li Jingsong, Chen Weidong, Yu Benli. Applied Spectroscopy Reviews, 2011, 46(6): 440.
[2] [2] Wold S. Pattern Recognition, 1976, 8(3): 127.
[3] [3] Candolfi A, De M R, Massart D L, et al. Journal of Pharmaceutical & Biomedical Analysis, 1999, 19(6): 923.
[5] [5] Xu C, Jia X, Xu R, et al. Spectrochimica Acta Part A Molecular & Biomolecular Spectroscopy, 2013, 114(10): 421.
[6] [6] Duca D, Mancini M, Rossini G, et al. Energy, 2016, 117: 251.
[7] [7] Pomerantsev A L, Ye R O. Journal of Chemometrics, 2014, 28(5): 429.
[8] [8] Jackson J E, Mudholkar G S. Technometrics, 1979, 21(3): 341.
[9] [9] Melnykov I, Melnykov V. Statistics & Probability Letters, 2014, 84(1): 88.
[10] [10] Zhang Q, Liu C, Sun Z, et al. Food Chemistry, 2012, 132(3): 1607.
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WU Yan-xian, SONG Chun-feng, YUAN Hong-fu, ZHAO Zhong, TIAN Ling-ling, YAN Yu-jiang, TIAN Wen-liang, WANG Li. A New Multivariate Classification and Identification Method of Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2017, 37(8): 2493
Received: Jan. 17, 2017
Accepted: --
Published Online: Aug. 30, 2017
The Author Email: Yan-xian WU (wyfwyx@qq.com)