Data-driven Modeling and Intelligent Prediction Analysis for Hot Strip Outlet Crowns

被引：0
|
作者：
Liu Y. [1 ,2 ,3 ,4 ]
Wang Z. [2 ,3 ]
Wang T. [1 ,2 ,3 ]
Liu W. [1 ]
Xiong X. [1 ]
机构：
[1] College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan
[2] Advanced Forming and Intelligent Equipment Research Institute, Taiyuan University of Technology, Taiyuan
[3] Engineering Research Center of Advanced Metal Composites Forming Technology and Equipment, Ministry of Education, Taiyuan
[4] Shanxi Taigang Stainless Precision Strip Co., Ltd., Taiyuan
来源：
Wang, Tao (twang@tyut.edu.cn) | 1600年 / Chinese Mechanical Engineering Society卷 / 31期
关键词：
Crown prediction; Differential evolution algorithm; Hot rolling; Production data; Support vector machine(SVM);
D O I：
10.3969/j.issn.1004-132X.2020.22.010
中图分类号：
学科分类号：
摘要：
A new prediction model of strip outlet crowns was proposed based on hot rolling actual production data and intelligent algorithm. This model used differential evolution algorithm to optimize the penalty factor and kernel function width of SVM, and the optimal parameters combinations of support vector regression model were determined. The model was trained with a lot of actual production data and was used to predict the strip outlet crowns. The model structure was simple and easy to implement, and the overall performance was evaluated by mean absolute error, mean absolute percentage error, root mean square error and determination coefficient R2. The feasibility of the proposed model was verified by comparing the predicted values with the actual ones. © 2020, China Mechanical Engineering Magazine Office. All right reserved.
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页码：2728 / 2733
页数：5
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