Hybrid Modeling in Glutamic Acid Fermentation Process

摘要：

Studying the kinetic model and neural network model combining hybrid modeling of glutamic acid fermentation process, hybrid model consists of two parts, one is the mechanism model, through reasonable assumptions and limitations, simplifying the kinetics of biochemical reaction process, it is basis of hybrid model, describes the basic characteristics of glutamic acid fermentation process; the other part is a neural network model, using neural network training function of knowledge, and establishing glutamic acid fermentation process between the input and output mapping, this mapping only depends on the actual production data, and has nothing to do with the actual process, it is a secondary part of the hybrid model for correction kinetic model. Through simulation, respectively, glutamic acid fermentation process kinetic model and hybrid model to compare the results to prove the value of hybrid model predictions closer to the system actual output, the model is more accurate.

关键词： Glutamic Acid Fermentation Process Hybrid Modeling Kinetic Model Neural Network

作者: Wang Guicheng Zhang Chunlong Guan Changliang Ren Zhixin Zhang Zhansheng Li Jinna

作者单位: Shenyang University of Chemical Technology, Shenyang 110142, China Shanghai Institute of Technology, Shenyang University of Chemical Technology, Shenyang 110142, China

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 2472-2477

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）