Steel Flatness Pattern Recognition Using RBF and Wavelet Packet Analysis

摘要：

Pattern recognition for flatness is one of the difficult techniques in °atness control system of high precision. A novel pattern recognition method based on wavelet packet analysis (WPA) and radial basis function (RBF) network is presented in this paper. The wavelet packet de-noising method is used to filter the noise of the measure data availably. The pattern recognition model for °atness based on radial basis function network can avoid considering the complicated function relationship between measure data and °atness. This method can classify the complex °atness correctly.

作者: Min Huang Li Peng

作者单位: College of Communication and Control Engineering Southern Yangtze University Wuxi, China 214122

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）