Prediction of the properties of hot rolling strip by using regression and neural network

IMR OpenIR

	Prediction of the properties of hot rolling strip by using regression and neural network
	Mo, CL ; Li, Q ; Li, DZ ; Feng, F ; Zhan, ZD
通讯作者	Mo, CL(clmo@imr.ac.cn)
	2003-10-01
发表期刊	ACTA METALLURGICA SINICA
ISSN	0412-1961
卷号	39 期号:10 页码:1110-1114
摘要	In order to develop on-line or off-line predictive system of hot rolling process, a model combining the neural network and regression methods was proposed to predict the properties of hot rolled plain carbon steel Q235B. On the base of the measured data to the grain size of ferrite and the fraction of phases at room temperature, a multiple regression method is given to describe the relationship between mechanical property and chemical composition, grain size, fraction of phase and so on. In the present work, the error back-propagation network (BP) is adopted. Combined with the data calculated with the phase transformation kinetic model, a great deal of data were trained many times and compared with the experimental data to these steels, the BP model predicting yield strength, tensile strength, elongation was built. The results show that the properties of hot rolling strip can be precisely predicted using neural network and regression method.
关键词	hot rolling strip neural network regression
收录类别	SCI
语种	英语
WOS研究方向	Metallurgy & Metallurgical Engineering
WOS类目	Metallurgy & Metallurgical Engineering
WOS记录号	WOS:000186451300020
出版者	SCIENCE CHINA PRESS
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/116526
专题	中国科学院金属研究所
通讯作者	Mo, CL
作者单位	1.Chinese Acad Sci, Met Res Inst, Shenyang 110016, Peoples R China 2.Shenyang Inst Technol, Fac Mat Sci & Engn, Shenyang 110168, Peoples R China
推荐引用方式 GB/T 7714	Mo, CL,Li, Q,Li, DZ,et al. Prediction of the properties of hot rolling strip by using regression and neural network[J]. ACTA METALLURGICA SINICA,2003,39(10):1110-1114.
APA	Mo, CL,Li, Q,Li, DZ,Feng, F,&Zhan, ZD.(2003).Prediction of the properties of hot rolling strip by using regression and neural network.ACTA METALLURGICA SINICA,39(10),1110-1114.
MLA	Mo, CL,et al."Prediction of the properties of hot rolling strip by using regression and neural network".ACTA METALLURGICA SINICA 39.10(2003):1110-1114.