Rolling Force Prediction in Heavy Plate Rolling Based on Uniform Differential Neural Network
Joint Authors
Zhang, Fei
Zhao, Yuntao
Shao, Jian
Source
Journal of Control Science and Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-20
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Accurate prediction of the rolling force is critical to assuring the quality of the final product in steel manufacturing.
Exit thickness of plate for each pass is calculated from roll gap, mill spring, and predicted roll force.
Ideal pass scheduling is dependent on a precise prediction of the roll force in each pass.
This paper will introduce a concept that allows obtaining the material model parameters directly from the rolling process on an industrial scale by the uniform differential neural network.
On the basis of the characteristics that the uniform distribution can fully characterize the solution space and enhance the diversity of the population, uniformity research on differential evolution operator is made to get improved crossover with uniform distribution.
When its original function is transferred with a transfer function, the uniform differential evolution algorithms can quickly solve complex optimization problems.
Neural network structure and weights threshold are optimized by uniform differential evolution algorithm, and a uniform differential neural network is formed to improve rolling force prediction accuracy in process control system.
American Psychological Association (APA)
Zhang, Fei& Zhao, Yuntao& Shao, Jian. 2016. Rolling Force Prediction in Heavy Plate Rolling Based on Uniform Differential Neural Network. Journal of Control Science and Engineering،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1107910
Modern Language Association (MLA)
Zhang, Fei…[et al.]. Rolling Force Prediction in Heavy Plate Rolling Based on Uniform Differential Neural Network. Journal of Control Science and Engineering No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1107910
American Medical Association (AMA)
Zhang, Fei& Zhao, Yuntao& Shao, Jian. Rolling Force Prediction in Heavy Plate Rolling Based on Uniform Differential Neural Network. Journal of Control Science and Engineering. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1107910
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1107910