Prediction of the Melt Index Based on the Relevance Vector Machine with Modified Particle Swarm Optimization

Chemical Engineering and Technology

Volumn 35, Issue 5, 2012, Pages 819-826

  Jiang, H ^a   Xiao, Y ^a   Li, J ^a   Liu, X ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

Melt index prediction; Online correcting strategy; Particle swarm optimization; Propylene polymerization industry; Relevance vector machine

Indexed keywords

LEAST SQUARES SUPPORT VECTOR MACHINES; MELT INDEX; MODEL MISMATCH; MODELING DATA; MODIFIED PARTICLE SWARM OPTIMIZATION; ONLINE CORRECTING STRATEGY; PREDICTION ACCURACY; PREDICTION MODEL; PREDICTIVE MODELS; PRODUCT SPECIFICATIONS; PRODUCTION PLANT; PROPYLENE POLYMERIZATION; RELEVANCE VECTOR MACHINE; RESEARCH RESULTS; SOFT SENSORS;

ALGORITHMS; FORECASTING; INDUSTRY; MATHEMATICAL MODELS; POLYMERIZATION; POLYPROPYLENES; PROPYLENE; SENSORS; SUPPORT VECTOR MACHINES; VECTORS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84860233089     PISSN: 09307516     EISSN: 15214125     Source Type: Journal    
DOI: 10.1002/ceat.201100437     Document Type: Article

References (36)

1. S.S. Bafna, A.M. Beall, J. Appl. Polym. Sci. 1997, 65, 277.
2. K.B. McAuley, J.F. MacGregor, AIChE J. 1991, 37, 825.
3. P. Sarkar, S.K. Gupta, Polym. Eng. Sci. 1993, 33, 368.
4. T.F. McKenna, J.B.P. Soares, Chem. Eng. Sci. 2001, 56, 3931.
5. F. Ahmed, S. Nazir, Y.K. Yeo, Chem. Eng. J. 2009, 26, 14.
6. Y. Chen, X.G. Liu, Polymer 2005, 46, 9434.
7. E.H. Lee, T.Y. Kim, Y.K. Yeo, J. Chem. Eng. Jpn. 2007, 40, 840.
8. D.P. Shi, Z.H. Luo, A.Y. Guo, Ind. Eng. Chem. Res. 2010, 49, 4070.
9. L. Xie, Y.J. Liu, H.Z. Yang, F. Ding, IET Control Theory A. 2010, 4, 784.
10. M. Embiruçu, E.L. Lima, J.C. Pinto, J. Appl. Polym. Sci. 2000, 77, 1574.
11. E.H. Lee, T.Y. Kim, Y.K. Yeo, J. Chem. Eng. Jpn. 2007, 40, 840.
12. C.Q. Tian, Y.F. Liao, X.T. Li, Int. J. Refrig. 2006, 29, 270.
13. Y. Li, S.H. Yang, Z. Zhang, Q.G. Wang, IET Control Theory A. 2010, 4, 197.
14. Y. Zhang, H. Li, A. Hou, J. Havel, Talanta 2005, 65, 118.
15. C.R. Zhang, Y.Z. Zhang, B.D. Zheng, J. Comput. Appl. Math. 2009, 229, 264.
16. Z.H. Xiong, Y.X. Xu, J. Zhang, J. Dong, Neural Comput. Appl. 2008, 17, 425.
17. B. Yu, Y. Shi, J. Huang, J. Dyn. Syst. Meas. Control Trans. ASME 2011, 133, 3.
18. J. Shi, X.G. Liu, Y.X. Sun, Neurocomputing 2006, 70, 280.
19. J. Shi, X.G. Liu, Chin. J. Chem. Eng. 2005, 13, 849.
20. J. Zhang, Q.B. Jin, Y.M. Xu, Chem. Eng. Technol. 2006, 29, 442.
21. I.S. Han, C. Han, C.B. Chung, J. Appl. Polym. Sci. 2005, 95, 967.
22. G. Baffi, J. Morris, E. Martin, Chem. Eng. Res. Des. 2002, 80, 75.
23. T.C. Park, T.Y. Kim, Y.K. Yeo, Korean J. Chem. Eng. 2010, 27, 1662.
24. J. Shi, X.G. Liu, J. Appl. Polym. Sci. 2006, 101, 285.
25. J. Taboada, J.M. Matías, C. Ordóñez, P.J. García, J. Comput. Appl. Math. 2007, 204, 84.
26. M.E. Tipping, J. Mach. Learn. Res. 2001, 1, 211.
27. W.F. Abd-El-Waheda, A.A. Mousab, M.A. El-Shorbagy, J. Comput. Appl. Math. 2011, 235, 1446.
28. V. N. Vapnik, The Nature of Statistical Learning Theory, Springer-Verlag, New York 1995.
29. V. N. Vapnik, Statistical Learning Theory, John Wiley, New York 1998.
30. J.A.K. Suykens, J. Vandewalle, Neural Process. Lett. 1999, 9, 293.
31. J. Kennedy, R. Eberhart, Particle swarm optimization, in Proc. IEEE Int. Conf. Neural Networks, IEEE Press, Piscataway 1995.
32. D.J. Murray-Smith, Math. Comput. Model. Dyn. 1998, 4, 5.
33. J. Cao, G.Z. Wang, B.W. Xu, J. Control. Decis. 1999, 14, 339.
34. W. Lou, X.G. Liu, J. Petrochem. Univ. 2007, 20, 82.
35. T.Y. Kim, Y.K. Yeo, Korean J. Chem. Eng. 2010, 27, 1669.
36. Y.K. Yeo, S. Nazir, F. Ahmed, Chem. Prod. Process. M. 2009, 4, 33.