Does restraining end effect matter in EMD-based modeling framework for time series prediction? Some experimental evidences

Neurocomputing

Volumn 123, Issue , 2014, Pages 174-184

  Xiong, Tao ^a   Bao, Yukun ^a   Hu, Zhongyi ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Empirical mode decomposition; End effect; Ensemble modeling; Support vector regression; Time series prediction

Indexed keywords

EMPIRICAL MODE DECOMPOSITION; END EFFECTS; ENSEMBLE MODELING; SUPPORT VECTOR REGRESSION (SVR); TIME SERIES PREDICTION;

FORECASTING; TIME SERIES;

SIGNAL PROCESSING;

ARTICLE; ARTIFICIAL NEURAL NETWORK; DATA PROCESSING; DECOMPOSITION; EMPIRICAL MODE DECOMPOSITION; KERNEL METHOD; OSCILLATION; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; SUPPORT VECTOR MACHINE; TIME SERIES ANALYSIS; WAVELET ANALYSIS;

EID: 84885867678     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.07.004     Document Type: Article

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