Research on Noise Reduction Method for Chaotic Time Series and Its Application Based on Least Square Support Vector Machine

摘要

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.