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| 基于最小二乘支持向量机的反向建模的铝合金变形抗力模型 | |
| 引用本文： | 杨景明,马凤艳,车海军,王万宏,陈杨. 基于最小二乘支持向量机的反向建模的铝合金变形抗力模型[J]. 计量学报, 2013, 34(6): 532-536. DOI: 10.3969/j.issn.1000-1158.2013.06.05 |
| 作者姓名： | 杨景明 马凤艳 车海军 王万宏 陈杨 |
| 作者单位： | 1.国家冷轧板带装备及工艺工程技术研究中心, 河北 秦皇岛 066004; 2.燕山大学工业计算机控制工程河北省重点实验室, 河北 秦皇岛 066004; 3. 河南明泰铝业股份有限公司, 河南 巩义 451200 |
| 基金项目： | 国家冷轧板带装备及工艺工程技术研究中心开放课题(2012005);河北省工业计算机控制工程重点实验室开放课题(201112006) |
| 摘 要： | 根据某1+4铝热连轧厂现场采集的大量轧制数据对几种铝合金变形抗力利用最小二乘支持向量机进行了反向建模回归分析，用细菌觅食优化算法对支持向量机的参数进行了优化。将回归后的变形抗力模型用于二级设定计算中的轧制力预报，结果表明回归后的模型适用于轧制现场，精度优于传统模型。 |
| 关 键 词： | 计量学 铝热连轧 变形抗力 最小二乘支持向量机 细菌觅食优化算法 反向建模 |
Deformation Resistance Model of Aluminum Alloy Based on Least Squares Support Vector Machine Reversed Modeling Method |
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| YANG Jing-ming,MA Feng-yan,CHE Hai-jun,WANG Wan-hong,CHEN Yang. Deformation Resistance Model of Aluminum Alloy Based on Least Squares Support Vector Machine Reversed Modeling Method[J]. Acta Metrologica Sinica, 2013, 34(6): 532-536. DOI: 10.3969/j.issn.1000-1158.2013.06.05 | |
| Authors: | YANG Jing-ming MA Feng-yan CHE Hai-jun WANG Wan-hong CHEN Yang |
| Affiliation: | 1.National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Qinhuangdao,Hebei 066004, China; 2. Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China; 3. Henan Mingtai Al. Industrial Co. Ltd, Gongyi, Henan 451200, China |
| Abstract: | According to lots of actual measured rolling data of aluminum alloy from one factory of aluminum hot tandem rolling, the deformation resistance model by least squares support vector machine reversed modeling method is got.Meanwhile, Bacteria Foraging Optimization algorithm was applied to optimize the parameters of LSSVM model to improve the accuracy.Compared with the traditional deformation resistance model,the results show that the deformation resistance model by reverse modeling is more accurate. |
| Keywords: | Metrology Aluminum hot tandem rolling Deformation resistance Least squares support vector machine Bacteria foraging optimization algorithm Reverse modeling |
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