Prediction of coiling temperature on run-out table of hot strip mill using data mining

[1]  S. Sikdar,et al.  Numerical determination of heat transfer coefficient for boiling phenomenon at runout table of hot strip mill , 2004 .

[2]  Derek A. Linkens,et al.  Roll Force and Torque Prediction Using Neural Network and Finite Element Modelling , 2003 .

[3]  Zhengyi Jiang,et al.  A fuzzy algorithm for flatness control in hot strip mill , 2003 .

[4]  S. G. Choi,et al.  Application of on-line adaptable Neural Network for the rolling force set-up of a plate mill , 2004, Eng. Appl. Artif. Intell..

[5]  Siamak Serajzadeh,et al.  Prediction of temperature distribution and phase transformation on the run-out table in the process of hot strip rolling , 2003 .

[6]  S. J. Hardy,et al.  Influence of runout table operation setup on hot strip quality, subject to initial strip condition: heat transfer issues , 2001 .

[7]  A. J. Morris,et al.  Fault detection in hot steel rolling using neural networks and multivariate statistics , 2000 .

[8]  Martin Schlang,et al.  Current and future development in neural computation in steel processing , 2000 .

[9]  Remn-Min Guo.  Modelling and simulation of run-out table cooling control using feedforward-feedback and element tracking system , 1995, IAS '95. Conference Record of the 1995 IEEE Industry Applications Conference Thirtieth IAS Annual Meeting.

[10]  Ananya Mukhopadhyay,et al.  Implementation of an on-line run-out table model in a hot strip mill , 2005 .

[11]  Minho Lee,et al.  Improving lookup table control of a hot coil strip process with online retrainable RBF network , 2000, IEEE Trans. Ind. Electron..

[12]  L. Cser,et al.  The role of neural networks in the optimisation of rolling processes , 1998 .

[13]  Han-Xiong Li,et al.  Multivariable fuzzy supervisory control for the laminar cooling process of hot rolled slab , 2001, IEEE Trans. Control. Syst. Technol..

[14]  Ivan Bratko,et al.  Machine Learning and Data Mining; Methods and Applications , 1998 .