Independent component analysis and support vector machine combined for brands identification of milk powder based on visible and short-wave near-infrared spectroscopy

Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008

Volumn 5, Issue , 2008, Pages 456-459

  Wu, Di ^a   Feng, Shuijuan ^a   Chen, Xiaojing ^a,b   Yang, Haiqing ^a,c   He, Yong ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b XIAMEN UNIVERSITY   (China)

^c ZHEJIANG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL PRODUCTS; CURVE FITTING; DAIRY PRODUCTS; FOOD PRODUCTS PLANTS; IMAGE RETRIEVAL; INFRARED DEVICES; INFRARED SPECTROSCOPY; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; MACHINE COMPONENTS; MATHEMATICAL MODELS; MULTIVARIANT ANALYSIS; POWDERS; RESEARCH AIRCRAFT; SIGNAL PROCESSING; SPECTROSCOPIC ANALYSIS; SPECTRUM ANALYSIS; SUPPORT VECTOR MACHINES; TEXTILES; TWO PHASE FLOW; VECTORS;

DISCRIMINATION RATES; FAST-ICA; INDEPENDENT COMPONENTS; INPUT VARIABLES; INTERNATIONAL CONGRESSES; LEAST-SQUARES SUPPORT VECTOR MACHINE; MILK POWDERS; PARTIAL LEAST SQUARES MODELS; PREDICTION MODELING; SHORT-WAVE NEAR-INFRARED; SVM MODEL;

INDEPENDENT COMPONENT ANALYSIS;

EID: 51849094864     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISP.2008.585     Document Type: Conference Paper

References (10)

1. S. Sasic and Y. Ozaki, "Short-wave Near-infrared Spectroscopy of Biological Fluids. 1. Quantitative Analysis of Fat, Protein and Lactose in Raw Milk by Partial Least-squares Regression and Band Assignment", Analytical Chcmisliy, Amer Chemical SOC, Washington, 2001, pp. 64-71.
2. Y. He, D. Wu and S.J. Feng, "Fast Measurement of Sugar Content of Yogurt Using Vis/NlR-spectroscopy", Int. J. Food Prop., Taylor & Francis INC, Philadelphia, 2007, pp.1-7.
3. P.P. Subedi, K.B. Walsh, G. Owens, "Prediction of Mango Eating Quality at Harvest Using Short-wave Near Infrared Spectrometry", Pailharvest Biology and Technology, Elsevier Science BV, Amsterdam, Netherlands, 2007, pp. 326-334.
4. Singer, A. "Spectral Independent Component Analysis", Appl. Comput. Harmon. Anal. Elsevier, Amsterdam, 2006, pp.135-144.
5. A. Hyvärinen and E. Oja, "A Fast Fixed-point Algorithm for Independent Component Analysis", Neural Comput., M I T Press, Cambradge, 1997, pp. 1483-1492.
6. A. Hyvärinen and E. Oja, "Independent Component Analysis: Algorithms and Applications", Neural Netw., Pergamon-Elsevier Science LTD, Oxford, 2000, pp.411-430.
7. V. Vapnik, "Statistical Learning Theory". John Wiley and Sons Inc., New York, 1998.
8. J.A.K. Suykens, T. Van Gestel, J. De Brabanter, B. De Moor, and J. Vandewalle, Least Squares Support Vector Machines. World Scientific Publishing, (2002) Singapore.
9. J.A.K. Suykens, J. Vanderwalle, "Least Squares Support Vector Machine Classifiers", Neural Process. Lett. Springer, GZ Dordrecht, 9 (1999) pp.293-300.
10. J.Z. Li, H.X. Liu, X.J. Yao, M.C. Liu, Z.D. Hu, and B.T. Fan, "Structure-activity Relationship Study of Oxindole-based Inhibitors of Cyclin-dependent Kinases Based on Least-squares Support Vector Machines", Analytica Chimica Acta, Elsevier Science BV, Amsterdam, Netherlands, 2007, 333-342.