DocumentCode
2136120
Title
Research on Noise Reduction Method for Chaotic Time Series and Its Application Based on Least Square Support Vector Machine
Author
Xiang Xiaodong
Author_Institution
Sch. of Manage., Fuzhou Univ., Fuzhou, China
fYear
2009
fDate
20-22 Sept. 2009
Firstpage
1
Lastpage
3
Abstract
With regard to the need of non-noise data for the many existing chaos-discerning methods, the noise reduction method for chaotic time series based on least square support vector machine is proposed, followed by specific steps for its application. The result of emulation by Henon reflection system proves the effectiveness of this method.
Keywords
chaos; least squares approximations; signal denoising; support vector machines; Henon reflection system; chaos-discerning methods; chaotic time series; least square support vector machine; noise reduction method; Acoustic reflection; Chaos; Cognition; Emulation; Least squares methods; Noise reduction; Nonlinear dynamical systems; Shadow mapping; Signal to noise ratio; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4638-4
Electronic_ISBN
978-1-4244-4639-1
Type
conf
DOI
10.1109/ICMSS.2009.5303374
Filename
5303374
Link To Document