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
Corresponding AuthorMo, CL(clmo@imr.ac.cn)
2003-10-01
Source PublicationACTA METALLURGICA SINICA
ISSN0412-1961
Volume39Issue:10Pages:1110-1114
AbstractIn 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.
Keywordhot rolling strip neural network regression
Indexed BySCI
Language英语
WOS Research AreaMetallurgy & Metallurgical Engineering
WOS SubjectMetallurgy & Metallurgical Engineering
WOS IDWOS:000186451300020
PublisherSCIENCE CHINA PRESS
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/116526
Collection中国科学院金属研究所
Corresponding AuthorMo, CL
Affiliation1.Chinese Acad Sci, Met Res Inst, Shenyang 110016, Peoples R China
2.Shenyang Inst Technol, Fac Mat Sci & Engn, Shenyang 110168, Peoples R China
Recommended Citation
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.
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