Spectroscopy and Spectral Analysis, Volume. 39, Issue 9, 2719(2019)
Classification of Terahertz Rosewood Based on Continuous Projection Algorithm and Random Forest
[1] [1] Wang R, Xie L, Hameed S, et al. Carbon, 2018, 132: 42.
[3] [3] Méndez A M, Ali A M, Dennis W, et al. Sensors, 2018, 18(7): 2087.
[4] [4] Zhang H, Li Z, Chen T, et al. J. Appl. Spectrosc., 2018, 85(1): 197.
[5] [5] Tao C, Qin Z, Zhi L, et al. Spectrochim. Acta A, 2018, 205(5): 312.
[6] [6] Bensalem M, Sommier A, Mindeguia J C, et al. J. Infrared Millim. Te., 2018, 39(2): 195.
[7] [7] Zolliker P, Ruggeberg M, Valzania L, et al. IEEE T Thz. Sci. Techn., 2017, 7(6): 722.
[9] [9] Tang R, Chen X, Li C, et al. Appl. Spectrosc., 2018, 72(3): 3702818755142.
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WANG Yuan, SHE Shuai, ZHOU Nan, JIA Pei-xing, ZHANG Jun-guo. Classification of Terahertz Rosewood Based on Continuous Projection Algorithm and Random Forest[J]. Spectroscopy and Spectral Analysis, 2019, 39(9): 2719
Received: Sep. 29, 2018
Accepted: --
Published Online: Sep. 28, 2019
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