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Author:

Gao, Xue-Jin (Gao, Xue-Jin.) (Scholars:高学金) | Wang, Pu (Wang, Pu.) | Qi, Yong-Sheng (Qi, Yong-Sheng.) | Yan, Ai-Jun (Yan, Ai-Jun.) (Scholars:严爱军) | Zhang, Hui-Qing (Zhang, Hui-Qing.) | Gong, Yan-Jie (Gong, Yan-Jie.)

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Abstract:

The SVM needs to use approximation accuracy Ε, however the LS-SVM doesn't need Ε. According to this characteristics, the paper studied the fitting and generalization capabilities of models that LS-SVM and SVM established for the penicillin fermentation process respectively. An improved GA selected the parameter values for LS-SVM and SVM respectively. The experiment shows that the model based on LS-SVM possesses the strong capabilities of fitting and generalization. If Ε is too large, the capabilities of fitting and generalization of model based on SVM are not high; if Ε is too small, the capabilities of fitting and generalization are relatively high, but the modeling process demands long time. Therfore, the LS-SVM is more suitable for modeling in fermentation processes.

Keyword:

Support vector machines Fermentation Genetic algorithms Models Process control

Author Community:

  • [ 1 ] [Gao, Xue-Jin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Wang, Pu]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Qi, Yong-Sheng]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Qi, Yong-Sheng]College of Information Engineering, Inner Mongolia University of Technology, Huhhot Inner Mongolia 010051, China
  • [ 5 ] [Yan, Ai-Jun]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 6 ] [Zhang, Hui-Qing]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 7 ] [Gong, Yan-Jie]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2010

Issue: 1

Volume: 36

Page: 7-12

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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