Research on the Monitoring System Method of GA-BP Network Soft-sensing

摘要：

Combination neural network and genetic algorithms consisting of GA-BP network, which builds soft-sensor model. GA-BP network for modeling the core soft-sensing method can avoid the use of BP algorithm alone into the problem of local minimum, also speed up the network convergence rate. The realization of monitoring system is firstly the trained GA-BP soft-sensing model used in computer control system by program. For fermentation process of germ concentration as a example, collecting the process data of industrial field as the input of soft-sensing, and germ concentration as output, so that it can be achieved germ concentration on-line estimate, thereby enhancing the production of glutamic acid, reducing production cost increasing economic efficiency.

关键词： Fermentation process Soft-sensing Germ concentration Neural network Genetic algorithms

作者: Guicheng Wang Yuanyuan Zhao Zhansheng Zhang Wendan Zhao Shuzhi Gao Xinhe Xu

作者单位: College of Information Engineering, Shenyang Institute of Chemical Technology, Shenyang , 110142 Sch College of Information Engineering, Shenyang Institute of Chemical Technology, Shenyang , 110142 School of Information Science and Engineering, Northeastern University, Shenyang, 110004

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 3742-3747

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）