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基于CA和LS-SVM的TE过程多模型建模
引用本文:胡蓓蓓,李丽娟,熊路.基于CA和LS-SVM的TE过程多模型建模[J].应用声学,2015,23(1):30-30.
作者姓名:胡蓓蓓  李丽娟  熊路
作者单位:南京工业大学 自动化与电气工程学院,南京工业大学 自动化与电气工程学院,南京工业大学 自动化与电气工程学院
基金项目:国家自然科学(2007DA690071),江苏省六大人才高峰项目,工业控制技术国家重点实验室开放课题(ICT1234)。
摘    要:针对TE化工过程高度非线性、复杂性的特点,本文提出了一种基于相关分析和最小二乘支持向量机对TE过程进行多模型建模方法,以提高模型性能。首先对TE过程采用相关分析法划分为3个子系统,对每个子系统分别采用基于C-均值聚类的最小二乘支持向量机建模和基于k均值聚类的最小二乘支持向量机多模型建模。实验表明,基于K-均值聚类的多模型建模能简化计算、提高模型精度、并且能更好的预测模型输出。

关 键 词:TE过程,相关分析,最小二乘支持向量机,多模型建模

Multi-modeling of the Tennessee Eastman Process based on CA and LS-SVM
Li lijuan and Xiong lu.Multi-modeling of the Tennessee Eastman Process based on CA and LS-SVM[J].Applied Acoustics,2015,23(1):30-30.
Authors:Li lijuan and Xiong lu
Institution:College of automation and electrical engineering,Nanjing University of Technology,College of automation and electrical engineering,Nanjing University of Technology,College of automation and electrical engineering,Nanjing University of Technology
Abstract:In order to deal with the nonlinear and complexity of TE,this paper proposes a multi-model modeling method for TE process based on CA and LSSVM which can overcome the disadvantages of single modeling. Firstly, the TE process is divided into three subsystems by CA. Then, LSSVM multi-modeling depended on the C-means and LSSVM multi-modeling depended on the k-means are applied to every subsystem respectively. At the same time, the experimental results also shows this algorithm can simplify the calculation, improve the accuracy of the model and forecast the model output better.
Keywords:TE  Process  Correlation  Analysis  LS-SVM  multi-model
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