| 基于AP聚类算法的跳汰机床层松散度软测量建模 |
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| 引用本文： | 李丽娟,潘磊,张湜.基于AP聚类算法的跳汰机床层松散度软测量建模[J].化工学报,2012,63(9):2675-2680. |
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| 作者姓名： | 李丽娟 潘磊 张湜 |
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| 作者单位： | 南京工业大学自动化与电气工程学院, 江苏 南京 211816 |
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| 基金项目： | 江苏省高校自然科学基金项目，国家自然科学基金项目 |
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| 摘 要： | 松散度是跳汰分选过程的重要影响因素,针对其难以用仪器在线检测的问题,提出采用最小二乘支持向量机(LS-SVM)的软测量建模方法。在充分考虑分选过程高度非线性及强耦合性的基础上,为避免单模型建模回归精度差和泛化能力弱的问题,提出采用基于仿射传播(AP)聚类的LS-SVM多模型建模算法进行床层松散度软测量建模。首先采用AP算法对样本数据进行聚类划分,再用LS-SVM的方法对子类样本分别建立子模型,最后通过子模型切换策略得到系统输出。仿真实验表明,基于AP聚类算法的LS-SVM软测量建模算法能够更好地预测跳汰机床层松散度。
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| 关 键 词： | 跳汰机 床层松散度 AP聚类算法 多模型 最小二乘支持向量机 |
| 收稿时间： | 2012-06-11 |
| 修稿时间： | 2012-06-19 |
Soft sensor modeling for mobility of jig bed based on AP-clustering algorithm |
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| LI Lijuan
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PAN Lei
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ZHANG Shi.Soft sensor modeling for mobility of jig bed based on AP-clustering algorithm[J].Journal of Chemical Industry and Engineering(China),2012,63(9):2675-2680. |
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| Authors: | LI Lijuan PAN Lei ZHANG Shi |
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| Affiliation: | College of Automation and Electrical Engineering, Nanjing University of Technology, Nanjing 211816, Jiangsu, China |
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| Abstract: | Mobility of bed is the important factor for jigging separation process.A soft sensing modeling method based on the least squares-support vector machine(LS-SVM)is developed to deal with the problem that mobility cannot be measured directly online.In full consideration of highly nonlinear and strong coupling characteristic of separation process,an LS-SVM multi-model method based on affinity propagation(AP)clustering is presented and applied to avoid bad accuracy of single model expressing multiple working positions.In the presented method,AP-clustering algorithm is used to cluster training samples.Then,the sub-models are trained by LS-SVM.Finally,the predicted values of the testing samples are estimated by the sub-models after it is classified by switchover.Simulation results show that a better prediction for mobility of jig bed is obtained by the LS-SVM multi-model method based on AP-clustering algorithm. |
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| Keywords: | jig mobility of bed AP-clustering multi-model LS-SVM |
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