Infrared and Laser Engineering, Volume. 48, Issue 4, 404001(2019)
Study of near infrared spectrum classification for tobacco leaf position based on deep belief network
[1] [1] Krepper G, Romeo F, Fernandes D, et al. Determination of fat content in chicken hamburgers using NIR spectroscopy and the Successive Projections Algorithm for interval selection in PLS regression ( i SPA-PLS)[J]. Spectrochim Acta A Mol Biomol Spectrosc, 2017, 189: 300-306.
[2] [2] Mees C, Souard F, Delporte C, et al. Identification of coffee leaves using FT-NIR spectroscopy and SIMCA[J]. Talanta, 2018, 177: 4.
[3] [3] Li Hua, Su Jianchun, Ke Huaxiang, et al. Study on fast assessment method of quality standard of Radix Scutellariae by near infrared spectroscopy and multivariate analysis[J]. Chinese Journal ofPharmaceutical Analysis, 2015(3): 518-523. (in Chinese)
[4] [4] Xu Meiling, Xiao Bingguang, Jiao Fangchan. Evaluation on tobacco germplasm resources chemical quality based on principal components analysis and cluster analysis [J]. Journal of Southern Agriculture, 2017, 48(11):1937-1947. (in Chinese)
[5] [5] Qin Yuhua, Ding Xiangqian, Gong Huili. High dimensional feature selection in near infrared spectroscopy classification[J]. Infrared and Laser Engineering, 2013, 42(5): 1355-1359. (in Chinese)
[6] [6] Sun Tong, Wu Yiqing, Xu Peng, et al. A new method combining LDA and PLS for dimension reduction[J]. Journal of Nuclear Agriculture, 2015, 29(5): 925-931. (in Chinese)
[8] [8] Materazzi S, Risoluti R, Pinci S, et al. New insights in forensic chemistry: NIR/Chemometrics analysis of toners for questioned documents examination.[J]. Talanta, 2017, 174: 673-678.
[9] [9] Lecun Y, Bengio Y, Hinton G. Deep learning[J]. Nature, 2015, 521(7553): 436.
[10] [10] Chai Ruimin, Cao Zhenji. Face recognition algorithm based on Gabor wavelet and deep belief networks [J]. Journal of Computer Applications, 2014, 34(9): 2590-2594. (in Chinese)
[11] [11] Zhang Limin, Liu Kai. Document features extraction based on DBM[J]. Microelectronics & Computer, 2015(2): 142-147. (in Chinese)
[12] [12] Huang Chenchen, Gong Wei, Fu Wenlong, et al. Research of speech emotion recognition based DBNs[J]. Journal of Computer Research and Development, 2014(s1): 75-80. (in Chinese)
[13] [13] Hinton G E, Osindero S, Teh Y W. A fast learning slgorithm for feep belief nets[J]. Neural Computation, 2006, 18(7): 1527-1554.
[14] [14] Hannes Schulz, Andreas Müller, Sven Behnke. Investigating convergence of restricted boltzmann machine learning[J]. Textile Research Journal, 2010, 55(12): 713-717.
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Wang Jing, Ding Xiangqian, Wang Xiaodong, Han Feng, Han Dong, Qu Xiaona. Study of near infrared spectrum classification for tobacco leaf position based on deep belief network[J]. Infrared and Laser Engineering, 2019, 48(4): 404001
Received: Nov. 18, 2018
Accepted: Dec. 22, 2018
Published Online: Jul. 23, 2019
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