Spectroscopy and Spectral Analysis, Volume. 36, Issue 9, 2793(2016)
Near-Infrared Spectrum of Coal Origin Identification Based on LVQ with SVM Algorithm
[3] [3] Xia Wencheng, Yang Jianguo, Liang Chuan. Powder Technology, 2013, 233: 186.
[4] [4] He L L, Melnichenko Y B, Mastalerz M, et al. Energy & Fuels, 2012, 26(3): 1975.
[6] [6] Lewis A T, Jones K, Lewis K E, et al. Carbohydrate Polymers, 2013, 92(2): 1294.
[7] [7] Sun Zhanquan. Geoffrey Fox. International Journal of Intelligent Transportation Systems Research, 2014, 12(1): 20.
[8] [8] Bron E E, Smits M, van Swieten J C, et al. Feature Selection Based on SVM Significance Maps for Classification of Dementia, in Machine Learning in Medical Imaging, 2014, LNCS 8679: 272.
[9] [9] Milad Jajarmizadeh, Elham Kakaei Lafdani, Sobri Harun, et al. KSCE Journal of Civil Engineering, 2015, 19(1): 345.
Get Citation
Copy Citation Text
LI Ming, CHEN Fan, LEI Meng, LI Cui. Near-Infrared Spectrum of Coal Origin Identification Based on LVQ with SVM Algorithm[J]. Spectroscopy and Spectral Analysis, 2016, 36(9): 2793
Received: Apr. 28, 2015
Accepted: --
Published Online: Dec. 26, 2016
The Author Email: