Laser & Optoelectronics Progress, Volume. 50, Issue 4, 43001(2013)
Determination of Tea Polyphenols Content in Puerh Tea Using Near-Infrared Spectroscopy Combined with Extreme Learning Machine and GA-PLS Algorithm
[1] [1] Guo Fei, Liu Jingjing, Luo Xiao et al.. Feasibility study of RBF fuzzy neural network in cashmere and wool identification based on near infrared spectroscopy[J]. Laser & Optoelectronics Progress, 2012, 49(8): 083001
[2] [2] Zhao Jiewen, Zhang Yanhua, Chen Quansheng et al.. Measurement of TVB-N content by multi-information fusion technique based on spectroscopy and imaging[J]. Laser & Optoelectronics Progress, 2012, 49(6): 063003
[3] [3] Guo Weiliang, Wang Dan, Song Jia et al.. Simultaneous and rapid quantitative analysis of four components in cordyceps militaris mycelium powder using near infrared spectroscopy[J]. Acta Optica Sinica, 2011, 31(2): 0230002
[4] [4] Sun Yaoguo, Lin Min, Lü Jin et al.. Determination of the contents of amino acids, caffeine, and polyphenols in green tea by near infrared spectroscopy[J]. Chinese J. Spectroscopy Laboratory, 2004, 21(5): 939~943
[5] [5] Luo Yifan, Guo Zhenfei, Zhu Zhenyu et al.. Studies on ANN models of determination of tea polyphenol and amylase in tea by near-infrared spectroscopy[J]. Spectroscopy and Spectral Analysis, 2005, 25(8): 1230~1233
[6] [6] Chen Quansheng, Zhao Jiewen, Huang Xinyi et al.. Simultaneous determination of total polyphenols and caffeine contents of green tea by near-infrared reflectance spectroscopy[J]. Microchemical Journal, 2006, 83(1): 42~47
[7] [7] Liu Huijun, Lü Jin, Zhang Weigang et al.. A testing model for tea polyphenol content based on NIR[J]. Infrared Technology, 2007, 29(7): 429~432
[8] [8] Luo Wenwen, Zhang Yueling, Gong Shuying et al.. Preliminary construction of NIR calibration model for moisture and total tea polyphenols of green tea[J]. Journal of Tea, 2007, 33(2): 67~70
[9] [9] Chen Quansheng, Zhao Jiewen, Liu Muhua et al.. Determination of total polyphenols content in green tea using FT-NIR spectroscopy and different PLS algorithms[J]. J. Pharmaceutical and Biomedical Analysis, 2008, 46(3): 568~573
[10] [10] Lin Xin, Niu Zhiyou. Optimization of models for quantitative analysis of tea polyphenols in green tea by near infrared spectrophotometry[J]. Food Science, 2009, 30(10): 144~148
[11] [11] G. B. Huang, Q. Y. Zhu, C. K. Siew. Extreme learning machine: theory and applications[J]. Neurocomputing, 2006, 70(1-3): 489~501
[12] [12] F. L. Chen, T. Y. Ou . Sales forecasting system based on gray extreme learing machine with Taguchi method in retail industry[J]. Expert Systems with Applications, 2011, 38(3): 1336~1445
[13] [13] Y. Lan, Y. C. Soh, G. B. Huang. Two-stage extreme learning machine for regression[J]. Neurocomputing, 2010, 73(16-18): 3028~3038
[14] [14] Y. B. Yuan, Y. G. Wang, F. L. Cao. Optimization approximation solution for regression problem based on extreme learning machine[J]. Neurocomputing, 2011, 74(16): 2475~2482
[15] [15] Z. L. Sun, T. M. Choi, K. F. Au et al.. Sales forecasting using extreme learning machine with applications in fashion retailing[J]. Decision Support System, 2008, 46(1): 411~419
[16] [16] G. B. Huang, X. J. Ding, H. M. Zhou. Optimization method based extreme learning machine for classification[J]. Neurocomputing, 2010, 74(1-3): 155~163
[17] [17] A. A. Mohammed, R. Minhas, Q. M. Jonathan Wu et al.. Human face recognition based on multidimension PCA and extreme learning machine[J]. Pattern Recognition, 2011, 44(10,11): 2588~2597
[18] [18] W. W. Zong, G. B. Huang. Face recognition based on extreme learning machine[J]. Neurocomputing, 2011, 74(16): 2541~2551
[19] [19] R. Leardi. Application of genetic algorithm-PLS for feature selection in spectral data sets[J]. J. Chemometrics, 2000, 14(6): 643~655
[20] [20] R. Leardi, M. B. Seasholtz, R. J. Pell. Variable selection for multivariate calibration using a genetic algorithm: prediction of additive concentrations in polymer films from Fourier transform-infrared spectral data[J]. Anal. Chim. Acta, 2002, 461(2): 189~200
[23] [23] Guo Zhiming, Chen Liping, Huang Wenqian et al.. Application of genetic algorithm-least squares support vector regression with near infrared spectroscopy for prediction of nicotine content in tobacco[J]. Laser & Optoelectronics Progress, 2012, 49(2): 021201
Get Citation
Copy Citation Text
Zhang Haidong, Li Guirong, Li Ruocheng, Xu Wenfang, Hua Yingjie. Determination of Tea Polyphenols Content in Puerh Tea Using Near-Infrared Spectroscopy Combined with Extreme Learning Machine and GA-PLS Algorithm[J]. Laser & Optoelectronics Progress, 2013, 50(4): 43001
Category: Spectroscopy
Received: Oct. 31, 2012
Accepted: --
Published Online: Apr. 16, 2013
The Author Email: Haidong Zhang (zhd_74@126.com)