The Model of the Water Content of the Dregs in Rotary Dryer Kiln Based on SVM
Based on analysis of the process of rotary dryer kiln, a soft-sensor model for water content of the dregs by using the support vector machines (SVM) is proposed. The parameters of SVM are optimized through the hybrid optimization algorithm which combines the genetic search with the local search, first the kernel function and SVM parameters are optimized roughly through genetic algorithm, after certain generations, the kernel parameter is fine adjusted by local linear search. Experiments of acquiring the sample data are designed and the soft-sensor model has been obtained and used successfully in the inference control of rotary dryer kiln. The proposed method can not only overcome the difficulty in determining the structure and parameters of using other models such as RBF model but also has better generalization performance than other models.
rotary dryer kiln water content of the dregs soft-sensor model support vector machines regression parameter selection hybrid optimization
Xin Wang Chunhua Yang Bin Qin
Department of Electrical Engineering, Hunan University of Technology, Hunan Zhuzhou, 412008, China;S School of Information Science and Engineering, Central South University, Hunan Changsha 410083,China Department of Electrical Engineering, Hunan University of Technology, Hunan Zhuzhou, 412008, China
国际会议
2006 IEEE International Conference on Information Acquisition
山东威海
英文
1168-1173
2006-08-20（万方平台首次上网日期，不代表论文的发表时间）