SVM Modeling for Glutamic Acid Fermentation Process

被引：0

作者：

Wang, Guicheng ^{[1
]}

Xu, Bing ^{[1
]}

Jiang, Wenping ^{[1
]}

机构：

[1] Shanghai Inst Technol, Sch Elect & Elect Engn, Shanghai 201418, Peoples R China

来源：

PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年

关键词：

Fermentation process; SVM; Glutamic acid; Modeling;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

It is completed the introduction and analysis for modeling method of glutamic acid fermentation process. Then modeling method using support vector machine is adopted, select a grid search-crossover integrated validation method to choose the parameters of the model in modeling, making the prediction model more accurate. Finally the comparison of SVM and BP networks model, simulation results show that the model prediction accuracy using support vector machine approach to establish higher for glutamic acid fermentation process under the same conditions.

引用

页码：5551 / 5555

页数：5

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