Modeling for Suspension Preheater in NSP Cement Kin Based on LS-SVM

摘要：

Aiming at the NSP cement production preheating system conditions is so complex that it is difficult to overall modeling. We have to take the hierarchical modeling methords to meet the preheating system modeling purpose. Then we select the kiln feed quantity of coal, hoist current, tertiary air pressure as model input basing on the correlation analysis, outlet pressure of C3-level as model output. We preprocess the original data using the mean minimum distance (MMD), basing on the least squares support vector machine (LS-SVM) and using RBF kernel function, to establish the model of C3 outlet pressure. Experimental results shows that the model output and field production data error is lesser, it can be used to describe the actual production system state.

关键词： kernel function correlation LS-SVM model preheater

作者: Xuechuan Xu Zhugang Yuan

作者单位: School of Control Science and EngineeringUniversity of Jinan Jinan, Shandong Province,China School of Control Science and Engineering University of Jinan Jinan, Shandong Province.China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 562-566

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）