A prediction method based on wavelet transform and multiple models fusion for chaotic time series-Reference-Cited by-同舟云学术

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A prediction method based on wavelet transform and multiple models fusion for chaotic time series

Published:2017-05 Issue: Volume:98 Page:158-172
ISSN:0960-0779
Container-title:Chaos, Solitons & Fractals
language:en
Short-container-title:Chaos, Solitons & Fractals

Author:

Zhongda Tian,Shujiang Li,Yanhong Wang,Yi Sha

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Mathematics,General Physics and Astronomy,Statistical and Nonlinear Physics,Applied Mathematics

Reference35 articles.

1. A Lyapunov-based control scheme for robust stabilization of fractional chaotic systems[J];Aghababa;Nonlinear Dyn.,2014

2. Number of first-passage times as a measurement of information for weakly chaotic systems[J];Naze;Phys Rev E,2014

3. Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction[J];McGovern;Data Min Knowl Discovery,2011

4. Mutual information-based inputs selection for electric load time series forecasting[J];Bozic;Entropy,2013

5. Measuring information interactions on the ordinal pattern of stock time series[J];Zhao;Phys Rev E,2013

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