References
- “Research on the Rolling of Strip - A Symposium of Selected Papers 1948–1958,” The British Iron & Steel Research Association (BISRA), London, UK, 1960.
- W. L. Roberts, Hot Rolling of Steel. Chapter 11, pp. 649–69, New York: Marcel Decker Inc., 1983
- V. B. Ginzburg, Steel Rolling Technology - Theory and Practices. New York: Marcel Decker Inc., 1989.
- S. Cho, M. Jang, S. Yoon, Y. Chot and H. Cho, “A Hybrid Neural Network/Mathematical Prediction Model for Tandem Cold Mill,” J. Comput. Ind. Eng., vol. 33, no. 3–4, pp. 453–456, 1997. DOI: 10.1016/S0360-8352(97)00166-6.
- Y. Kim, B. Yum and M. Kim, “Robust Design of Artificial Neural Network for Roll Force Prediction in Hot Strip Mill,” Proc. Int. Joint Conference on Neural Networks (IJCNN’01), Washington, DC, 2001, Vol. 4, pp. 2800–2804.
- D. Lee and Y. Lee, “Application of Neural-Network for Improving Accuracy of Roll Force Model in Hot Rolling Mill,” J. Control Eng. Pract., vol. 10, no. 4, pp. 473–478, 2002. DOI: 10.1016/S0967-0661(01)00143-5.
- Y. Yang, D. A. Linkens, J. T. Silva and L. C. Howard, “Roll Force and Torque Prediction using Neural Network and Finite Element Modeling,” ISIJ Int., vol. 43, no. 12, pp. 1957–1977, 2003. DOI: 10.2355/isijinternational.43.1957.
- S. Rath, et al., “Artificial Neural Network Modeling for Prediction of Roll Force During Plate Rolling Process,” Int. J. Mater. Manuf. Process., vol. 25, no. 1–3, pp. 149–153, Jan. 2010. DOI: 10.1080/10426910903158249.
- D. M. Lee and S. G. Choi, “Application of On-Line Adaptable Neural Network for the Rolling Force Set-Up of A Plate Mill,” Eng. Appl. Artif. Intell., vol. 17, no. 5, pp. 557–567, 2004. DOI: 10.1016/j.engappai.2004.03.008.
- J. Son, D. Lee, L. Kim and S. Choi, “A Study on On-Line Learning Neural Network for Prediction for Rolling Force in Hot-Rolling Mill,” J. Mater. Process. Technol., vol. 164–165, pp. 1612–1617, 2005. DOI: 10.1016/j.jmatprotec.2005.01.009.
- J. Yang, H. Che, Y. Xu, and and F. Dou, “Application of Adaptable Neural Networks for Rolling Force Set Up in Optimisation of Rolling Schedules,” in Advances in Neural Networks. Wang J., Yi Z., Zurada J.M., Lu BL., Yin H. (eds), Berlin: Springer, 2006, pp. 864–869.
- J.-G Ding, X.-L Hu, J.-M Jiao, G.-F She and X.-H Liu, “Application of Adaptive Threading Technique to Hot Strip Mill,” J. Iron Steel Res. Int., vol. 15, no. 5, pp. 29–31, 2008. DOI: 10.1016/S1006-706X(08)60244-7.
- C. Jie, “The application of the mathematical model of hot rolling process control,” Proc. 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), Aug. 8–10, 2011, pp. 7327–7331.
- S. Rath, P. P. Sengupta, A. P. Singh, A. K. Marik and P. Talukdar, “Mathematical-Artificial Neural Network Hybrid Model to Predict Roll Force during Hot Rolling of Steel,” Int. J. Comp. Mater. Sci. Eng., vol. 2, no. 1, pp. 1350004–1350016, 2013. DOI: 10.1142/S2047684113500048.