Comparison studies of LS-SVM and SVM on modeling for fermentation processes - 文章详情页

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The　SVM　needs　use　approximation　accuracy　Ε　,　however　the　LSJSVM　(least　square　support　vector　machine)　doesn＇t　need　Ε　.　According　to　these　characteristics,　this　paper　studies　the　fitting　and　generalization　capabilities　of　models　that　LS-SVM　and　SVM　establishes　for　the　penicillin　fermentation　processes　respectively.　An　improved　GA　selects　the　parameter　values　for　LS-SVM　and　SVM　respectively.　The　experiment　shows　the　model　based　on　LSJSVM　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　more　long　time.　So,　the　LS-SVM　is　more　suitable　for　modeling　in　fermentation　processes.　©　2009　IEEE.

关键词：

Fermentation Least squares approximations Process control Support vector machines

作者机构：

[ 1 ] [Gao, Xuejin]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, Yongsheng]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 4 ] [Qi, Yongsheng]College of Information Engineering, Inner Mongolia University of Technology, Huhhot Inner Mongolia 010051, China
[ 5 ] [Yan, Aijun]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 6 ] [Zhang, Huiqing]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 7 ] [Gong, Yanjie]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

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