A study on genetic algorithm to select architecture of a optimal neural network in the hot rolling process

Journal of Materials Processing Technology

Volumn 153-154, Issue 1-3, 2004, Pages 643-648

  Son, J S ^a   Lee, D M ^b   Kim, I S ^a   Choi, S K ^b  

^a Mokpo National University   (South Korea)

^b POSCO   (South Korea)

Author keywords

Control system; Genetic algorithm; Hot rolling process; Neural network

Indexed keywords

APPROXIMATION THEORY; COMPETITION; FINITE ELEMENT METHOD; FRICTION; GENETIC ALGORITHMS; HOT ROLLING MILLS; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMAL CONTROL SYSTEMS; PRODUCTIVITY; STEELMAKING; STRAIN HARDENING; STRAIN RATE; SURFACE PROPERTIES;

FRICTION CONDITIONING; GLOBAL COMPETITION; OPTIMAL ARCHITECTURE; ROLLING FORCES;

HOT ROLLING;

EID: 9444292408     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2004.04.376     Document Type: Article

References (15)

1. S.J. Egan, C.A. Fryer, M.S. Lubomirski, P.J. Reeve, Iron Steel Eng. 73 (3) (1996) 38-42.
2. E.M.J. Geddes, Modelling of a tandem cold rolling mill, Leicester Univ. Eng. Dept., UK, 1983.
3. J.S. Gunasekera, J.M. Alexander, Ann. CIRP 36 (1) (1987) 203-206.
4. M. Lubrano, J.H. Bianchi, in: Proceedings of the 2nd International Conference on Modeling of Metal Rolling Process, London, UK, 1996.
5. D.D. Wang, A.K. Tieu, F.G. Boer, B. Ma, W.Y.D. Yue, Eng. Appl. Artificial 13 (2000) 397-406.
6. A.F. MacAlister, Iron Steel Eng. 66 (12) (1989) 38-45.
7. A.J. Carlton, W.J. Edwards, Formulae for Cold Rolling Analysis, John Lysaght (Australia) Limited, Research and Technology Centre, Newcastle, NSW, Australia, pp. 223-248.
8. J.W. Pinkowski, M. Andjelich, Iron Steel Eng. 73 (6) (1996) 27-34.
9. W. Lee, Improvement of set-up model for tandem cold rolling mill, Tech. Rep., POSCO Res. Inst. Sci. Technol., 1994.
10. J.F.J. Cory, S.J. Puckett, G.L. Nessler, Iron Steel Eng. 67 (2) (1990) 24-32.
11. M. Shim, N.-S. Park, SEAISI Quart. 7 (1998) 71-79.
12. J.B. Lynn, T.M. Mayrosh, D.O. Neith, J.G. Santiago, Iron Steel Eng. 68 (1) (1991) 49-57.
13. M. Yamashite, I. Yarita, H. Abe, T. Mikutiya, F. Yanagishima, IRSID Rolling Conf. 2 (1) (1987).
14. T. Fuji, et al., Nippon Steel Technol. Rep. 57 (4) (1993) 67-72.
15. E.I. Poliak, Application of linear regression analysis in accuracy assessment of rolling force calculations, Met. Mater. 4 (5) (1998) 1047-1056.