DocumentCode
2943746
Title
Application of Elman Neural Network to Width Spread Prediction in Medium Plate Mill
Author
Meng Lingqi ; Wu Haoliang ; Wang Jianxun ; Lei Mingjie
Author_Institution
Zhengzhou Univ., Zhengzhou, China
Volume
3
fYear
2009
fDate
11-12 April 2009
Firstpage
187
Lastpage
190
Abstract
Based on the fact that the Elman model of neural network can well approach any nonlinear continuous function and has ability to reflect dynamic features of the systems, a method of width spread to medium plate mill prediction by Elman model was present. Through the width prediction by Elman model and BP model, the results show that the convergence and accuracy of prediction by the Elman model was higher than that by the BP network model.
Keywords
backpropagation; milling; neural nets; nonlinear functions; production engineering computing; BP network model; Elman neural network; medium plate milling system process; nonlinear continuous function; width spread prediction; Accuracy; Artificial neural networks; Automation; Electronic mail; Mathematical model; Mechatronics; Milling machines; Neural networks; Nonlinear systems; Predictive models; Elman neural network; MATLAB; medium plate mill; width spread;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location
Zhangjiajie, Hunan
Print_ISBN
978-0-7695-3583-8
Type
conf
DOI
10.1109/ICMTMA.2009.259
Filename
5203178
Link To Document