Noise Reduction of Chaotic Systems Based on Least Squares Support Vector Machines

摘要：

In order to resolve the noise reduction in chaotic system, a novel idea based on Least Square Support Vector Machine(LS-SVM) is proposed in this paper. By analyzing the relationship between the function approximation and the noise reduction, we realized that the noise reduction can be implemented by the function approximation techniques. On the basis of the LS-SVM, the function approximation is carried out and the noise reduction achieved simultaneously.

作者: Jiancheng Sun Yatong Zhou

作者单位: Dept. of communication Eng.Jiangxi University of Finance and Economics Nanchang, Jiangxi China

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 336-339

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）