| 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 Author | Mo, CL(clmo@imr.ac.cn) |
| 2003-10-01 | |
| Source Publication | ACTA METALLURGICA SINICA
 |
| ISSN | 0412-1961 |
| Volume | 39Issue:10Pages:1110-1114 |
| Abstract | 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. |
| Keyword | hot rolling strip neural network regression |
| Indexed By | SCI |
| Language | 英语 |
| WOS Research Area | Metallurgy & Metallurgical Engineering |
| WOS Subject | Metallurgy & Metallurgical Engineering |
| WOS ID | WOS:000186451300020 |
| Publisher | SCIENCE CHINA PRESS |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.imr.ac.cn/handle/321006/116526 |
| Collection | 中国科学院金属研究所 |
| Corresponding Author | Mo, CL |
| Affiliation | 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 |
| 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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