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Please use this identifier to cite or link to this item: http://hdl.handle.net/10561/620

Title: A Method for Predicting Chaotic Time Series based on a Local Approximation Technique
Other Titles: 局所近似法によるカオス時系列データの予測手法
Author: 伊藤, 憲一
前村, 葉子
Author's alias: ITOH, Ken-ichi
Issue Date: 20-Dec-2001
Publisher: 県立長崎シーボルト大学
Shimei: 県立長崎シーボルト大学国際情報学部紀要
Issue: 2
ISSN: 1346-6372
Abstract: An improved method based on a local approximation technique is presented for predicting chaotic time series.In the local approximation technique,a state space is reconstructed from a time series using delay coordinates and then a local predictor is constructed on the basis of the motion of the nearest neighbors in the state space. To increase the prediction accuracy of the local approximation,a new method is proposed for selecting the nearest neighbors in the state space.The efficacy of the proposed method is demonstrated using chaotic time series generated by the Ikeda map and the Henon map.
Keywords: Chaos, time series, prediction
Description: 国立情報学研究所により電子化
URI: http://hdl.handle.net/10561/620
Appears in Collections:第2号

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