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作者:

Gao, Xuejin (Gao, Xuejin.) (学者:高学金) | Wang, Pu (Wang, Pu.) | Zhang, Yating (Zhang, Yating.) | Zhang, Huiqing (Zhang, Huiqing.) | Qi, Yongsheng (Qi, Yongsheng.) | Guan, Wei (Guan, Wei.)

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摘要:

To increase fermentation unit, the strategy of optimization control that combines the support vector machine (SVM) with genetic algorithm based on real coding (RGA) is proposed. To solve the coupling of fermentation parameters, the idea of pattern is also introduced. SVM establishes the prediction model for the microbial process, and RGA taking the model as fitness function calculates the optimal control pattern. The results show that the penicillin titer of fermentation process optimized is increased by 22.88% compared with that of fermentation process not optimized.

关键词:

Fermentation Genetic algorithms Models Predictive analytics Process control Support vector machines Vector control (Electric machinery)

作者机构:

  • [ 1 ] [Gao, Xuejin]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Wang, Pu]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Zhang, Yating]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Zhang, Huiqing]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 5 ] [Qi, Yongsheng]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 6 ] [Guan, Wei]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

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来源 :

Journal of Chemical Industry and Engineering (China)

ISSN: 0438-1157

年份: 2008

期: 6

卷: 59

页码: 1462-1469

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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