Information Fusion Technique and Its Application to Modeling for Fermentation Processes

摘要：

For the modeling of the penicillin fermentation processes, a new algorithm, which is based on multiple model fusion technique to modeling of fermentation processes, is proposed. The algorithm can simultaneously use on-line and off-line parameters to modeling. Firstly, multiple model fusion-modeling algorithms are designed, the modeling method of two sub models based on adaptive fuzzy neural networks and fuzzy inference are described. Secondly, for three nonlinear testing functions, GMDH-PTSV, Fourier neural network and multiple model fusion-modeling algorithms are used to modeling respectively. Finally, the algorithms of the multiple model fusion modeling for penicillin fermentation process are given. For real data of fermentation processes, the simulation results show that modeling accuracy of the algorithm is better.

作者: Guiwei Zhang Lin Bao Jiang Zhao

作者单位: College of Economy & Management Hebei University of engineering Handan, Hebei Province, China College of Electrical Engineering & Information Science Hebei University of Science & Technology Shi

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 916-920

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）