Prediction of bending force in the hot strip rolling process using artificial neural network and genetic algorithm (ANN-GA)
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Xu Li | Zhenhua Wang | Dianhua Zhang | Guangtao Li | Dian-Yao Gong | Zhenhua Wang | Dian-hua Zhang | Xu Li | D. Gong | Guangtao Li
[1] Xibing Li,et al. Structural reliability analysis for implicit performance functions using artificial neural network , 2005 .
[2] Xiaogang Yao,et al. Applications of artificial intelligence for quality control at hot strip mills , 1996 .
[3] Ill-Soo Kim,et al. A study on on-line learning neural network for prediction for rolling force in hot-rolling mill , 2005 .
[4] Mahdi Bagheripoor,et al. Application of artificial neural networks for the prediction of roll force and roll torque in hot strip rolling process , 2013 .
[5] John G. Lenard,et al. Using neural networks to predict parameters in the hot working of aluminum alloys , 1999 .
[6] Dukman Lee,et al. Application of neural-network for improving accuracy of roll-force model in hot-rolling mill , 2000 .
[7] Abdelkrim Moussaoui,et al. Hybrid Hot Strip Rolling Force Prediction using a Bayesian Trained Artificial Neural Network and Analytical Models , 2006 .
[8] W. Ding,et al. Prediction of high-speed grinding temperature of titanium matrix composites using BP neural network based on PSO algorithm , 2017 .
[9] Derek A. Linkens,et al. Roll Force and Torque Prediction Using Neural Network and Finite Element Modelling , 2003 .
[10] Frédéric Alexandre,et al. Artificial Neural Networks for the Presetting of a Steel Temper Mill , 1996, IEEE Expert.
[11] Chen Peng,et al. Energy consumption monitoring for the order fulfilment in a ubiquitous manufacturing environment , 2017 .
[12] L. Cser,et al. The role of neural networks in the optimisation of rolling processes , 1998 .
[13] D. A. Linkens,et al. Roll load prediction—data collection, analysis and neural network modelling , 2004 .
[14] Mohamed Khayet,et al. Artificial neural network modeling and optimization of desalination by air gap membrane distillation , 2012 .
[15] Yacine Rezgui,et al. ANN–GA smart appliance scheduling for optimised energy management in the domestic sector , 2016 .
[16] 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..
[17] Tarek Khoualdia,et al. Multi-objective optimization of ANN fault diagnosis model for rotating machinery using grey rational analysis in Taguchi method , 2017 .
[18] A. Iqbal,et al. Prediction of Mechanical Properties of Hot Rolled, Low-Carbon Steel Strips Using Artificial Neural Network , 2005 .
[19] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[20] Jun Yang,et al. Thermal error compensation of high-speed spindle system based on a modified BP neural network , 2017 .
[21] Saeed Setayeshi,et al. Prediction of influence parameters on the hot rolling process using finite element method and neural network , 2009 .
[22] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[23] Richard Lippmann,et al. Book Review: Neural Networks, a Comprehensive Foundation, by Simon Haykin , 1994, Int. J. Neural Syst..
[24] Asif Iqbal,et al. Comparison of ANN and MARS in Prediction of Property of Steel Strips , 2004, WSC.
[25] Tung-Hsu Hou,et al. Parameters optimization of a nano-particle wet milling process using the Taguchi method, response surface method and genetic algorithm , 2007 .