Modeling of Isomerization of C<sub>8</sub> Aromatics by Online Least Squares Support Vector Machine

李丽娟; 苏宏业; 褚建

doi:10.1016/S1004-9541(08)60228-1

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Modeling of Isomerization of C₈ Aromatics by Online Least Squares Support Vector Machine

Updated：2026-01-06

- Modeling of Isomerization of C₈ Aromatics by Online Least Squares Support Vector Machine
- Modeling of Isomerization of C₈ Aromatics by Online Least Squares Support Vector Machine
- 中国化学工程学报（英文版） 2009年17卷第3期页码：437-444
- Affiliations：
  
  1. College of Automation and Electrical Engineering, Nanjing University of Technology,Nanjing,China,210009
  2. State Key Lab. of Industrial Control Technology, Institute of Cyber-systems and Control, Zhejiang University,Hangzhou,China,310027
- Author bio：
- Funds：
  
  Supported by the National Creative Research Groups Science Foundation of China (60721062);the National Basic Research Program of China (2007CB714000)
- DOI：10.1016/S1004-9541(08)60228-1
  中图分类号：
- 纸质出版：2009
- Accepted：
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李丽娟, 苏宏业, 褚建. Modeling of Isomerization of C₈ Aromatics by Online Least Squares Support Vector Machine[J]. 中国化学工程学报（英文版）, 2009,17(3):437-444. DOI: 10.1016/S1004-9541(08)60228-1.

Aromatics by Online Least Squares Support Vector Machine[J]. , 2009, 17(3): 437-444.
李丽娟, 苏宏业, 褚建. Modeling of Isomerization of C₈ Aromatics by Online Least Squares Support Vector Machine[J]. 中国化学工程学报（英文版）, 2009,17(3):437-444. DOI: 10.1016/S1004-9541(08)60228-1. DOI：

Aromatics by Online Least Squares Support Vector Machine[J]. , 2009, 17(3): 437-444. DOI： 10.1016/S1004-9541(08)60228-1.

摘要

Abstract

The least squares support vector regression (LS-SVR) is usually used for the modeling of single output system

but it is not well suitable for the actual multi-input-multi-output system. The paper aims at the modeling of multi-output systems by LS-SVR. The multi-output LS-SVR is derived in detail. To avoid the inversion of large matrix

the recursive algorithm of the parameters is given

which makes the online algorithm of LS-SVR practical. Since the computing time increases with the number of training samples

the sparseness is studied based on the projection of online LS-SVR. The residual of projection less than a threshold is omitted

so that a lot of samples are kept out of the training set and the sparseness is obtained. The standard LS-SVR

nonsparse online LS-SVR and sparse online LS-SVR with different threshold are used for modeling the isomerization of C

aromatics. The root-mean-square-error (RMSE)

number of support vectors and running time of three algorithms are compared and the result indicates that the performance of sparse online LS-SVR is more favorable.

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DOI：10.1016/S1004-9541(08)60228-1

摘要

Abstract

关键词

Keywords

references

Modeling of Isomerization of C₈ Aromatics by Online Least Squares Support Vector Machine

Modeling of Isomerization of C₈ Aromatics by Online Least Squares Support Vector Machine