DocumentCode
2474170
Title
Research on multi-BP NN-based control model for molten iron desulfurization
Author
Dan, Binbin ; Chen, Kuisheng ; Xiong, Ling ; Rong, Zhijun ; Yi, Jiangang
Author_Institution
Dept. of Ind. Eng., Wuhan Univ. of Sci. & Technol., Wuhan
fYear
2008
fDate
25-27 June 2008
Firstpage
6133
Lastpage
6137
Abstract
Desulfurization of molten iron is very complex. The model based on traditional technology cannot achieve optimal desulfurization effect. A multi BP NN predictor model for desulfurizing molten iron is presented in this paper to predict three important operation parameters including consumption of desulfurizer, stirring speed and time. The results demonstrate that the model has good performance and meets the production requirements.
Keywords
backpropagation; iron; neurocontrollers; process control; steel manufacture; Fe; desulfurization; desulfurizer consumption; multiBP NN-based control model; stirring speed; time; Automation; Costs; Iron; Neural networks; Partial differential equations; Predictive models; Production; Solids; Steel; Temperature; KR Desulfurization; NN multi-model; desulfurization predict; hot metal pretreatment;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4592875
Filename
4592875
Link To Document