Identification of authenticity of tea with near infrared spectroscopy based on support vector machine

Guangxue Xuebao/Acta Optica Sinica

Volumn 26, Issue 6, 2006, Pages 933-937

  Chen, Quansheng ^a   Zhao, Jiewen ^a   Zhang, Haidong ^a,b   Wang, Xinyu ^a  

^a JIANGSU UNIVERSITY   (China)

^b YUNNAN AGRICULTURAL UNIVERSITY   (China)

Author keywords

Identification; Near infrared spectroscopy; Spectroscopy; Support vector machine (SVM); Tea

Indexed keywords

COMPONENTS; FUNCTIONS; PATTERN RECOGNITION; TARGETS; VECTORS;

IDENTIFICATION; KERNEL FUNCTION; NEAR INFRARED SPECTROSCOPY; RADIAL BASIS FUNCTION (RBF); STANDARD NORMAL VARIATE (SNV); SUPPORT VECTOR MACHINE (SVM); TEA;

INFRARED SPECTROSCOPY;

EID: 33746795426     PISSN: 02532239     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. Wenliang Chen, Rong Liu, Houxin Cui et al.. Application of transcutaneous diffuse reflectance spectroscopy in the measurement of blood glucose concentration[J]. Chin. Opt. Lett., 2004, 2(7): 411-413
2. J. Lupaert, M. H. Zhang, D. L. Massart. Feasibility study for the using near infrared spectroscopy in the qualitative and quantitative of green tea, Camellia sinensis (L)[J]. Analytica Chemica Acta, 2003, 487(2): 303-312
3. M. H. Zhang, J. Lupaert, Q. S. Xu et al.. Determination of total antioxidant capacity in green tea by NIRS and multivariate calibration[J]. Talanta, 2004, 62(1): 25-35
4. H. Schulz, U. H. Engelhardt, A. Wengent et al.. Application of NIRS to the simultaneous prediction alkaloids and phenolic substance in green tea leaves[J]. J. Agric Food Chem., 1999, 47(12): 5064-5067
5. Zhang Luda, Su Shiguang, Wang Laisheng et al.. Study on application of Fourier transformation near-infrared spectroscopy analysis with support vector machine (SVM)[J]. Spectroscopy and Spectral Analysis, 2005, 25(1): 33-35
6. Yao Xiaogang, Dai Liankui, Fang Jun. Diesel cetane number measurement with NIR spectral analysis using LS-SVM[J]. Control and Instruments in Chemical Industry, 2004, 31(2): 48-51 (in Chinese)
7. Nello Cristianini, John Shawe-Taylor. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods[M]. Li Guozheng, Wang Meng, Zeng Huajun transl. Beijing: Publishing House of Electronic Industry, 2004. 8-149 (in Chinese)
8. Ye Meiying, Wang Xiaodong. Identification of chaotic optical system based on support vector machine[J]. Acta Optica Sinica, 2004, 24(7): 953-956 (in Chinese)
9. Lu Wanzhen, Yuan Hongfu, Xu Guangtong et al.. The Modern Analysis Technique for Near-Infrared Spectra[M]. Beijing: Chinese Oil and Chemical Press, 2000. 19-36 (in Chinese)
10. Qi Feng, Liu Wenqing, Zhou Bin et al.. Improving DOAS system measurement precision with artificial neural networkmethod[J]. Acta Optica Sinica, 2002, 22(11): 1345-1349 (in Chinese)
11. Meiying Ye. Improving linearity of position-sensitive detector using support vector machines[J]. Chin. Opt . Lett., 2005, 3(4): 205-207