Comparison of chemometric methods for brand classification of cigarettes by near-infrared spectroscopy

Vibrational Spectroscopy

Volumn 51, Issue 2, 2009, Pages 276-282

  Tan, Chao ^a   Qin, Xin ^b   Li, Menglong ^c  

^a YIBIN UNIVERSITY   (China)

^b China Tobacco Chuanyu Industrial Corporation   (China)

^c SICHUAN UNIVERSITY   (China)

Author keywords

Cigarette; Classification; Near infrared spectroscopy; Support vector machine

Indexed keywords

CHEMOMETRIC METHOD; CIGARETTE; CLASSIFICATION; CLASSIFICATION ALGORITHM; DATA SETS; K-NEAREST NEIGHBORS; MULTI-CLASS SUPPORT VECTOR MACHINES; NIR SPECTROSCOPY; PERFORMANCE CRITERION; RELATIVE PERFORMANCE; SOFT INDEPENDENT MODELING OF CLASS ANALOGIES; TRAINING SETS;

IMAGE RETRIEVAL; INFRARED DEVICES; NEAR INFRARED SPECTROSCOPY; SET THEORY; SPECTROSCOPIC ANALYSIS; SUPPORT VECTOR MACHINES; TEXTILES; TOBACCO;

INFRARED SPECTROSCOPY;

EID: 70350574843     PISSN: 09242031     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.vibspec.2009.07.004     Document Type: Article

References (33)

1. Tan C., Li M.L., and Qin X. Anal. Bioanal. Chem. 389 (2007) 667
2. Pankow J.F., Henningfield J.E., and Garrett B.E. Nicotin Tob. Res. 6 (2004) 199
3. Bolboacǎ S.D., and Jäntschi L. Int. J. Environ. Res. Public Health 4 (2007) 233
4. Pontes M.J.C., Santos S.R.B., Araújo M.C.U., Almeida L.F., Lima R.A.C., Gaião E.N., and Souto U.T.C.P. Food Res. Int. 39 (2006) 182
5. Cocchi M., Durante C., Foca G., Marchetti A., Tassi L., and Ulrici A. Talanta 68 (2006) 1505
6. Zou X.B., Zhao J.W., and Li Y.X. Vib. Spectrosc. 44 (2007) 220
7. Cen H.Y., and He Y. Trends Food Sci. Tech. 18 (2007) 72
8. Dou Y., Sun Y., Ren Y.Q., Ju P., and Ren Y.L. J. Pharm. Biomed. Anal. 37 (2005) 543
9. Luypaert J., Massart D.L., and Vander Heyden Y. Talanta 72 (2007) 865
10. Awa K., Okumura T., Shinzawa H., Otsuka M., and Ozaki Y. Anal. Chim. Acta 691 (2008) 81
11. Liu K.Z., Shi M.H., Man A., Dembinski T.C., and Shaw R.A. Vib. Spectrosc. 38 (2005) 203
12. Kang N., Kasemsumran S., Woo Y.-A., Kim H.-J., and Ozaki Y. Chemom. Intell. Lab. Syst. 82 (2006) 90
13. Kondepati V.R., Keese M., Mueller R., Manegold B.C., and Backhaus J. Vib. Spectrosc. 44 (2007) 236
14. Kim M.J., Lee Y.H., and Han C.H. Comput. Chem. Eng. 24 (2000) 513
15. Balabin R.M., and Safieva R.Z. Fuel 87 (2008) 1096
16. Balabin R.M., Safieva R.Z., and Lomakina E.I. Chemom. Intell. Lab. Syst. 93 (2008) 58
17. Tan C., and Li M.L. Anal. Sci. 23 (2007) 201
18. Thissen U., Pepers M., Üstün B., Melssen W.J., and Buydens L.M.C. Chemom. Intell. Lab. Syst. 73 (2004) 169
19. Zou T.T., Dou Y., Mi H., Zou J.Y., and Ren Y.L. Anal. Biochem. 355 (2006) 1
20. Li Y.K., Shao X.G., and Cai W.S. Talanta 71 (2007) 217
21. Franc V., and Hlavac V. 16th International Conference on Pattern Recognition, vol. 2 (2002) 236
22. Huang J., Brennan D., Sattler L., Alderman J., Lane B., and O' Mathuna C. Chemom. Intell. Lab. Syst. 62 (2002) 25
23. Vapnik V. Statistical Learning Theory (1998), John Wiley and Sons, New York
24. Cortes C., and Vapnik V. Mach. Learn. 20 (1995) 273
25. Belousov A.I., and Verzakov S.A. J. von Frese. J. Chemometr. 16 (2002) 482
26. Hsu C.W., and Lin C.J. IEEE Trans. Neural Networks 13 (2002) 415
27. Sharaf M.A., Illman D.L., and Kowalski B.R. Chemometrics (1986), John Wiley and Sons, New York
28. K. Teknomo, http://people.revoledu.com/kardi/tutorial/knn.
29. Maesschalck R., Jouan-Rimbaud D., and Massart D.L. Chemom. Intell. Lab. Syst. 50 (2000) 1
30. Wold S. Pattern Recog. 8 (1976) 127
31. Flaten G.R., Grung B., and Kvalheim O.M. Chemom. Intell. Lab. Syst. 72 (2004) 101
32. Kennard R.W., and Stone L.A. Technometrics 11 (1969) 137
33. Kanduc K.R., Zupan J., and Majcen N. Chemom. Intell. Lab. Syst. 65 (2003) 221