DocumentCode
2813113
Title
Cold rolling force prediction for copper strip based on applications of GA and BPNN
Author
Qu, Xiao ; Cai, Wei Jian ; Liu, Xi Lin
Author_Institution
Sch. of Autom. & Electr. Eng., Zhejiang Univ. of Sci. & Technol., Hangzhou, China
fYear
2011
fDate
15-17 July 2011
Firstpage
4818
Lastpage
4821
Abstract
This paper focus on the cold rolling force prediction for copper strip based on BPNN and Genetic Algorithm. Analysis and comparison with the precision based on Bland-Ford formula, the results show that the new rolling force prediction had higher accuracy.
Keywords
backpropagation; cold rolling; copper; genetic algorithms; neural nets; production engineering computing; BPNN; Bland-Ford formula; GA; cold rolling force prediction; copper strip; genetic algorithm; Copper; Electrical engineering; Force; Genetic algorithms; Mathematical model; Steel; Strips; BPNN; Cold rolling force; Copper strip; Genetic Algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location
Hohhot
Print_ISBN
978-1-4244-9436-1
Type
conf
DOI
10.1109/MACE.2011.5988091
Filename
5988091
Link To Document