Spectroscopy and Spectral Analysis, Volume. 39, Issue 12, 3809(2019)
NIR Spectral Feature Selection Using Lasso Method and Its Application in the Classification Analysis
[2] [2] Yahui L, Xiaobo Z, Tingting S, et al. Food Anal. Methods, 2017: 10: 1034.
[3] [3] Balabin R M, Smirnov S V. Analytica Chimica Acta, 2011, 692(1): 63.
[5] [5] Xu Y, Kutsanedzie F Y H, Sun H, et al. Food Anal. Methods, 2018, 11: 1199.
[7] [7] Saptoro A, Tadé M, Vuthaluru H. Chemical Product and Process Modeling, 2012, 7(1): 1.
[8] [8] Wu X, Wu B, Sun J, et al. Journal of Food Process Engineering, 2017, 40(2): 23.
[10] [10] Frank A F, Hlutkowsky C, Bemis L, et al. NeuroImage, 2019, 184: 68.
[11] [11] Zhang Liguo, Zhang Xin, Ni Lijun, et al. Food Chemistry, 2014, 145: 342.
[12] [12] Yosra A, Estrella Funes L Gabriel Beltran M, et al. Journal of Near Infrared Spectroscopy, 2015, 23(2): 111.
[13] [13] Teye E, Huang X Y, Lei W, et al. Food Research International, 2014, 55: 288.
[14] [14] Verleker A P, Shaffer M, Fang Q, et al. Applied Optics, 2017, 56(4): 1131.
Get Citation
Copy Citation Text
LI Yu-qiang, PAN Tian-hong, LI Hao-ran, ZOU Xiao-bo. NIR Spectral Feature Selection Using Lasso Method and Its Application in the Classification Analysis[J]. Spectroscopy and Spectral Analysis, 2019, 39(12): 3809
Received: Oct. 31, 2018
Accepted: --
Published Online: Jan. 7, 2020
The Author Email: Yu-qiang LI (1763371201@qq.com)