Spectroscopy and Spectral Analysis, Volume. 40, Issue 8, 2651(2020)
Edible Oil Classification Based on Molecular Spectra Analysis With SIMCA-SVDD Method
[1] [1] Li Lin, Sun Qiuju, Xin Shigang, et al. Applied Mechanics & Materials, 2013, 395-396: 355.
[2] [2] Yoshimi Kitada, Yasuyuki Ueda, Masatoshi Yamamoto, et al. Journal of Liquid Chromatography & Related Technologies, 1985, 8(1):47.
[3] [3] Xu L, Yu X, Lei L, et al. Food Chemistry, 2016, 202: 229.
[4] [4] CAO Yu-ting, ZHAO Zhong, YUAN Hong-fu, et al. Spectroscopy and Spectral Analysis, 2019, 39(2): 659.
[5] [5] Wold S. Pattern Recognition, 1976, 8(3): 127.
[6] [6] Tax D M J, Duin R P W. Pattern Recognition Letters, 1999, 20(11-13): 1191.
[7] [7] Chen G, Zhang X, Wang Z J, et al. Knowledge-Based Systems, 2015, 90: 129.
[8] [8] Lazzaretti A E, Tax D M J. An Adaptive Radial Basis Function Kernel for Support Vector Data Description. Berlin: Springer International Publishing, 2015. 103.
[9] [9] LIU Wei, ZHAO Zhong, YUAN Hong-fu, et al. Spectroscopy and Spectral Analysis, 2014, 34(4): 947.
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ZHAO Zhong, LI Bin, WU Yan-xian, YUAN Hong-fu. Edible Oil Classification Based on Molecular Spectra Analysis With SIMCA-SVDD Method[J]. Spectroscopy and Spectral Analysis, 2020, 40(8): 2651
Received: Jul. 26, 2019
Accepted: --
Published Online: Dec. 4, 2020
The Author Email: Zhong ZHAO (zhaozhong@mail.buct.edu.cn)