计量学报Issue(4)：323-326,4.DOI:10.3969/j.issn.1000-1158.2014.04.04
基于 ABC-LSSVM 的铝热连轧板凸度软测量建模
The Aluminum Hot Strip Mill Plate Crown Soft Sensor Modeling based on the ABC-LSSVM
摘要
Abstract
The plate crown is an important indicator of the aluminum strip in Aluminum hot strip mill flatness control. In order to accurately predict the aluminum hot strip mill plate crown,a soft sensor model was established on the base of artificial bee colony(ABC)and least squares support vector machine(LSSVM). ABC was applied to the process of the model parameters optimization because prediction accuracy and generalization ability of LSSVM model depends on the choice of the parameters. The prediction performance of the model was tested by sample data collected at the scene of a factory 1 + 4 aluminum hot rolling. The model was compared with Marquardt and the LSSVM model whose parameters were optimized by Genetic Algorithms( GA). The simulation result shows that the ABC-LSSVM soft sensor model parameters optimization fast,simple structure and high precision .关键词
计量学/板凸度/软测量/人工蜂群/最小二乘支持向量Key words
Metrology/Plate Crown/Soft Sensor/Artificial Bee Colony/Least Squares Support Vector Machine分类
通用工业技术引用本文复制引用
赵新秋,刘正亮,杨景明,车海军..基于 ABC-LSSVM 的铝热连轧板凸度软测量建模[J].计量学报,2014,(4):323-326,4.基金项目
河北省科技支撑计划项目（10212157）；国家冷轧板带及装备工程技术研究中心开放课题；河北省工业计算机控制工程重点实验室开放课题 （）
