A comparison of the artificial neural network model and the theoretical model used for expressing the kinetics of electrophoretic deposition of YSZ on LSM

Journal of Power Sources

Volumn 175, Issue 1, 2008, Pages 338-344

  Ciou, Sian Jie ^a   Fung, Kuan Zong ^a   Chiang, Kai Wei ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Artificial neural network; Electrophoretic deposition

Indexed keywords

ELECTRIC POTENTIAL; ELECTROPHORESIS; MATHEMATICAL MODELS; NUMERICAL ANALYSIS;

ELECTROPHORETIC DEPOSITION (EPD); NUMERICAL ACCURACY; OPERATIONAL CONDITIONS;

NEURAL NETWORKS;

EID: 36348996057     PISSN: 03787753     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jpowsour.2007.09.024     Document Type: Article

References (44)

1. Requena J., Moreno R., and Moya J.S. J. Am. Ceram. Soc. 72 (1989) 1511-1513
2. Clegg W.J. Acta Metall. Mater. 40 (1992) 3085-3093
3. Maiti H.S., Datta S., and Basu R.N. J. Am. Ceram. Soc. 72 (1989) 1733-1735
4. Chu C.T., and Dunn B. Appl. Phys. Lett. 55 (1989) 492-494
5. Nojima H., Shintaku H., Nagaa M., and Koda M. Jpn. J. Appl. Phys. 30 (1991) 1166-1168
6. Nagai M., Yamashita K., Umegaki T., and Takuma Y. J. Am. Ceram. Soc. 76 (1993) 253-255
7. Siracuse J.A., Talbot J.B., Sluky E., Avalos T., and Hesse K.R. J. Electrochem. Soc. 137 (1990) 2336-2340
8. Shane M.J., Talbot J.B., Kinney B.G., Sluzky E., and Hesse K.R. J. Colloid Interf. Sci. 165 (1994) 334-340
9. Powers R.W. Am. Ceram. Soc. Bull. 65 (1986) 1270-1277
10. Powers R.W. Am. Ceram. Soc. Bull. 65 (1986) 1277-1281
11. Negishi H., Yamaji K., Imura T., Kitamoto D., Ikegami T., and Yanagishita H. J. Electrochem. Soc. 152 (2005) J16-J22
12. Ishihara T., Shimose K., Kudo T., Nishiguchi H., Akbay T., and Takita Y. J. Am. Ceram. Soc. 83 (2000) 1921-1927
13. Hamaker H.C. Trans. Faraday Soc. 35 (1940) 186-191
14. Hamaker H.C., and Verwey E.J.W. Trans. Faraday Soc. 35 (1940) 180-185
15. de Beer E., Duval J., and Meulenkamp E.A. J. Colloid Interf. Sci. 222 (2000) 117-124
16. Anné G., Vanmeensel K., Vleugels J., and van der Biest O. J. Am. Ceram. Soc. 88 (2005) 2036-2039
17. Montgomery D.C. Design and Analysis of Experiments. 5th ed. (2001), John Wiley & Sons, New York pp. 101-110
18. Gasteiger J., and Zupan J. Angew. Chem. Int. Ed. Engl. 32 (1993) 503-527
19. Jordan S.N., Leach A.R., and Bradshaw J. J. Chem. Inf. Comput. Sci. 35 (1995) 640-650
20. Hagan M.T., Demuth H.B., and Beale M. Neural Network Design (1996), PWS pp. 324-330
21. Sousa R., Colmati F., and Gonzalez E.R. J. Power Sources 161 (2006) 183-190
22. Nitsche C., Schroedl S., Weiss W., and Pucher E. J. Power Sources 145 (2005) 383-391
23. Karami H., Mousavi M.F., Shamsipur M., and Riahi S. J. Power Sources 154 (2006) 298-307
24. Ogaji S.O.T., Singh R., Pilidis P., and Diacakis M. J. Power Sources 154 (2006) 192-197
25. Young R.E., Xiang L., and Perone S.P. J. Power Sources 62 (1996) 121-134
26. Arriagada J., Olausson P., and Selimovic A. J. Power Sources 112 (2002) 54-60
27. Ou S., and Achenie E.K.L. J. Power Sources 140 (2005) 319-330
28. Chan C.C., Lo E.W.C., and Weixiang S. J. Power Sources 87 (2000) 201-204
29. Jemeï S., Hissel D., Péra M.C., and Kauffmann J.M. J. Power Sources 124 (2003) 479-486
30. Entchev E., and Yang L. J. Power Sources 170 (2007) 122-129
31. Karami H., Karimi M.A., and Mahdipour M. J. Power Sources 158 (2006) 936-943
32. Urbina A., Paez T.L., Jungst R.G., and Liaw B.Y. J. Power Sources 110 (2002) 430-436
33. Chen F., and Liu M. J. Eur. Ceram. Soc. 21 (2001) 127-134
34. Besra L., and Liu M. Mater. Sci. 52 1 (2007) 1-61
35. Augustinik A.I., Vigdergauz V.S., and Zharavlev G.I. J. Appl. Chem. 35 (1962) 2175-2180
36. Hunter R.J. Foundations of Colloid Science. 1st ed. 1 (1987), Clarendon Press, Oxford, UK pp. 265-270
37. Anné G., Neirinck B., Vanmeensel K., Van der Biest O., and Vleugels J. J. Am. Ceram. Soc. 89 (2006) 823-828
38. Reed R.D., and Marks R.J. Neural Smoothing Supervised Learning in Feed-forward Artificial Neural Networks (1999), The MIT press pp. 187-191
39. Rumelhart D., Hinton G., and Williams R. Learning internal representations by error propagation. In: Rumelhart D., and McClelland J. (Eds). Parallel Distributed Processing: Explorations in the Microstructure of Cognition vol. 1 (1986), MIT Press, Cambridge, MA 318-362
40. Agatonovic-Kustrin S., and Alany R.G. Pharm. Res. 18 7 (2001) 110-115
41. Holland J.H. Adoption in Natural and Artificial Systems (1975), University of Michigan Press, Ann Arbor, Ml pp. 95-102
42. Goldbergm D.E. Gentic Algorithms in Search, Optimization, and Machine Learning (1989), Addison-Wesley, Reading, MA pp. 32-40
43. Montana D.J., and Davis L. Proceedings of the 11th International Joint Conference on Artificial Intelligence, vol. 1 (1989), Morgan Kaufmann, San Mateo, CA 762-767
44. Principe J.C., Euliano N.R., and Lefebvre W.C. Neural and Adaptive Systems: Fundamentals Through Simulations (2000), John Wiley & Sons, New York pp. 15-21