Improvement of Shape Recognition Performance of Sendzimir Mill Control Systems Using Echo State Neural Networks-Reference-Cited by-同舟云学术

Improvement of Shape Recognition Performance of Sendzimir Mill Control Systems Using Echo State Neural Networks

Published:2014-03 Issue:3 Volume:21 Page:321-327
ISSN:1006-706X
Container-title:Journal of Iron and Steel Research International
language:en
Short-container-title:J. Iron Steel Res. Int.

Author:

Park Jung-huyn,Han Seong-ik,Kim Jong-shik

Publisher

Springer Science and Business Media LLC

Subject

Materials Chemistry,Metals and Alloys,Mechanics of Materials

Link

http://link.springer.com/article/10.1016/S1006-706X(14)60049-2/fulltext.html

Reference12 articles.

1. G. T. Lee, Analysis of the Strip Shape in Sendzimir Mills and Neuro-fuzzy Shape Control, Pusan National University, Busan, Republic of Korea, 2010.

2. G. W. D. M. Gunawardene, M J. Grimble, A. Thomson, Metals Tech. 8 (1981) 274–283.

3. G. W. D. M. Gunawardene, Static Model Development for the Sendzimir Cold Rolling Mill, Sheffield City Polytechnic, Sheffield, 1982.

4. T. Kono, M. Ogaya, T. Matsushita, N. Yoneyama, Y. Aizawa, Nippon Stainless Tech. Rep. (1982) No. 17, 95–114.

5. A. Mijuta, S. Hattori, Y. Yamaguchi, K. Tsuji, J. Jpn. Soc Technol. Plast. 23 (1982) 1245–1252.

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