| 基于QPSO-LSSVM的醋酸乙烯聚合率软测量建模研究 |
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| 引用本文： | 夏梁志,李华. 基于QPSO-LSSVM的醋酸乙烯聚合率软测量建模研究[J]. 自动化技术与应用, 2011, 30(8): 10-13,17 |
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| 作者姓名： | 夏梁志 李华 |
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| 作者单位： | 兰州交通大学自动化与电气工程学院,甘肃兰州,730070 |
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| 摘 要： | 针对目前聚乙烯醇生产过程中醋酸乙烯(VAC)聚合率难以用常规的传感器在线测量的情况,本文在分析了量子粒子群(QPSO)和最小二乘支持回归机(LS-SVM)原理的基础上,提出了利用QPSO和LS SVM相结合的方法建立醋酸乙烯聚合率软测量模型,利用量子粒子群的全局搜索能力来对最小二乘支持向量机在建模过程中重要的参数进行优...
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| 关 键 词： | 软测量 醋酸乙烯聚合率 最小二乘支持向量机 量子粒子群优化 |
Research on Soft Sensor Modeling of Vinyl Acetate Polymerization Rate Based on Hybrid QPSO-LSSVM |
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| XIA Liang-zhi,LI Hua. Research on Soft Sensor Modeling of Vinyl Acetate Polymerization Rate Based on Hybrid QPSO-LSSVM[J]. Techniques of Automation and Applications, 2011, 30(8): 10-13,17 |
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| Authors: | XIA Liang-zhi LI Hua |
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| Affiliation: | XIA Liang-zhi,LI Hua(School of Automation and Electrical Engineering,Lanzhou Jiaotong University,Lanzhou 730070 China) |
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| Abstract: | Aiming at the difficulty in measuring the vinyl acetate(VAC) polymerization rate on-line with conventional sensors in the process of polyvinyl alcohol production,the QPSO-LSSVM model about soft sensing of vinyl acetate polymerization rate is established based on the analysis of the quantum particle swarm optimization(QPSO) and least squares support regression machine(LS-SVM) in this paper,the best parameters of LS-SVM and the mixed kernel function may be selected by QPSO which has the better search ability.... |
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| Keywords: | soft-sensor VAC polymerization rate least squares support vector machine quantum particle swarm optimization |
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