NDLI: Research on prediction model of bending force based on BP neural network with LM algorithm

Content Provider	IEEE Xplore Digital Library
Author	Xiaohua Li Shashi Liu Hui Li Jing Wang Tao Zhang
Copyright Year	2013
Description	Author affiliation: Sch. of Electrons & Inf. Eng., Univ. of Sci. & Technol. Liaoning, Anshan, China (Xiaohua Li; Hui Li; Jing Wang; Tao Zhang) \|\| Sch. of Control Sci. & Eng., Dalian Univ. of Technol., Dalian, China (Shashi Liu)
Abstract	Hydraulic bending roller is a most basic and important method for shape control of strip. The rolled shape quality is decided by the setting value of bending force in great part. This paper chooses five-stand hot tandem rolling mill in 1810 product line of Tangshan Iron and Steel Company as background, and deals primarily with the study of the bending force prediction model of the rolling unit. To counter the imperfection of traditional prediction model and according to feature of hot strip mill, the various factors influencing bending force are analyzed, and a bending farce prediction model based on BP neural network with LM algorithm is set up. The training and testing simulation for the neural network is done by using the actual production data of hot rolled steel SS400. By means of the analysis toward simulation results, it is shown that the neural network prediction model for bending force has not only a fast convergence speed, but also a high prediction accuracy to meet actual production request. The research provides a direction and foundation for the setting of practical bending force of 1810 hot rolling line.
Sponsorship	IEEE Control Syst. Soc.
Starting Page	832
Ending Page	836
File Size	255838
Page Count	5
File Format	PDF
ISBN	9781467355339
e-ISBN	9781467355346
DOI	10.1109/CCDC.2013.6561037
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Strips BP neural network Force Neural networks Neurons LM algorithm Bending force prediction model Predictive models Convergence
Content Type	Text
Resource Type	Article

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