Classification of apple beverages using artificial neural networks with previous variable selection

Analytica Chimica Acta

Volumn 524, Issue 1-2 SPEC. ISS., 2004, Pages 225-234

  Gestal, M ^a   Gomez Carracedo M P ^a   Andrade, J M ^a   Dorado, J ^a   Fernandez E ^a   Prada, D ^a   Pazos, A ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

Artificial neural networks; Genetic algorithms; Infrared spectroscopy; Juice authentication; Procrustes rotation; Variable selection

Indexed keywords

FOOD SUPPLY; INFRARED SPECTROSCOPY; NEURAL NETWORKS; NUTRITION; SCREENING;

APPLE BEVERAGES; CLASSIFICATION MODEL; POTENTIAL FUNCTIONS;

FRUIT JUICES;

APPLE JUICE; ARTIFICIAL NEURAL NETWORK; BEVERAGE; CLASSIFICATION; COMMERCIAL PHENOMENA; CONFERENCE PAPER; GENETIC ALGORITHM; INTERMETHOD COMPARISON; MODEL; PRIORITY JOURNAL;

MALUS X DOMESTICA; PROCRUSTES;

EID: 4544241413     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aca.2004.02.030     Document Type: Conference Paper

References (38)

1. Braakman L. Food Eng. Ingredients. 27:2002;14
2. Braakman L. Food Eng. Ingredients. 28:2003;45
3. P.R. Ashurst, Chemistry and Technology of Soft Drinks and Fruit Juices, Sheffield Academic Press Ltd., UK, 1998.
4. Saavedra L., García A., Barbas C. J. Chromatogr. A. 881:2000;395
5. Yuan J.P., Chen F. Food Chem. 64:1999;423
6. Stöber P., Martin G.G., Peppard T.L. Deutsche Lebensmittel- Rundschau. 94:1998;309
7. Jamin E., González J., Remaud G., Naulet N., Martin G. J. Agric. Food Chem. 45:1997;3961
8. Rodriguez-Saona L.E., Fry F.S., McLaughlin M.A., Calvey E.M. Carbohydr. Res. 336:2001;63
9. M. Meloun, J. Militky, M. Forina, Chemometrics for Analytical Chemistry, Ellis Horwood, New York, 1992.
10. D.L. Massart, L. Kaufman, The Interpretation of Analytical Chemical Data by the Use of Cluster Analysis, Krieger Publishing, John Wiley and Sons, Florida, 1989.
11. D.L. Massart, B.G.M. Vandeginste, L.M.C. Buydens, S. De Jong, P.J. Lewi, J. Smeyers-Verbeke, Handbook of Chemometrics and Qualimetrics, Elsevier, Amsterdam, 1997.
12. Tomás i Morer X., Andrade Garda J.M. Quím. Anal. 18:1999;225
13. S. Haykin, Neural Networks: A Comprehensive Foundation, second ed., Prentice-Hall, New Jersey, 1999.
14. Sánchez M.S., Sarabia L.A. Chemom. Intell. Lab. Syst. 28:1995;287
15. Van Est Q.C., Schoenmakers P.J., Smits J.R., Nijssen W.P. Vib. Spectrosc. 4:1993;263
16. Downey G. Trends Anal. Chem. 17:1998;418
17. M. Gestal, M.P. Gómez-Carracedo, J.M. Andrade, J. Dorado, E. Fernández, D. Prada, A. Pazos, Selection of Variables by Genetic Algorithms and Procrustes Rotation for Classifying Apple Beverages by FTIR and ANNs, Conferentia Chemometrica 2003, Budapest, 27-29 October 2003.
18. Lavine B.K., Davidson C.E., Moores A.J. Chemom. Intell. Lab. Syst. 60:2002;161
19. Ramadan Z., Song X.H., Hopke P.K., Johnson M.J., Scow K.M. Anal. Chim. Acta. 446:2001;233
20. Fatemi M.H., Jalali-Heravi M., Konuze E. Anal. Chim. Acta. 486:2003;101
21. Guo Q., Wu W., Massart D.L., Boucon C., de Jong S. Chemom. Lab. Syst. 61:2002;123
22. Guo Q., Wu W., Massart D.L., Boucon C., de Jong S. Anal. Chim. Acta. 446:2001;85
23. M. Pavan, V. Consomni, R. Todeschini, Development of Order Ranking Models by Genetic Algorithm Variable Subset Selection (GA-VSS), Conferentia Chemometrica 2003, Budapest, 27-29 October 2003.
24. W.J. Krzanowski, Principles of Multivariate Analysis: A User's Perspective, Clarendon Press, Oxford, 1990.
25. Deane J.M., Macfie H.J.H. J. Chemom. 3:1989;477
26. Andrade J.M., Gómez-Carracedo M.P., Fernández E., Elbergali A., Kubista M., Prada D. Analyst. 128:2003;1193
27. Anderson C.E., Kalivas J.H. Appl. Spectrosc. 53:1999;1268
28. Nygren J., Elbergali A., Kubista M. Anal. Chem. 70:1998;4841
29. J.F. Holland, Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor, 1975.
30. D.E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addisson-Wesley, Reading, MA, 1989.
31. Leardi R. J. Chemom. 15:2001;559
32. Sivakesava S., Irudayaraj J. Appl. Eng. Agric. 16:2000;543
33. Braakman L. Food Eng. Ingredients. 27:2002;14
34. A. Pazos Sierra, Redes de Neuronas Artificiales y Algoritmos Genéticos, Universidade da Coruña Servicio de Publicacions, 1996.
35. K.A. DeJong, Genetic algorithms: a 10 years perspective, in: J.J. Grefenstette (Ed.), Proceedings of the First International Conference on Genetic Algorithms, Lawrence Erlbaum Associates, 1985.
36. Despagne F., Massart D.L. Analyst. 123:1998;157
37. Cadet F. Talanta. 48:1999;867
38. D.E. Goldberg, Simple genetic algorithms and the minimal deceptive problem, in: L. Davis (Ed.), Genetic Algorithms and Simulated Annealing, Pitman, London, 1987, p. 74.