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Volumn 34, Issue 1, 2008, Pages 97-101

Application of EMD in the atmosphere time series prediction

Author keywords

Artificial neural network (ANN); Empirical mode decomposition (EMD); Hilbert Huang transform; Non linear; Non stationary; Prediction; Time series

Indexed keywords

NONLINEAR SYSTEMS;

EID: 39149141564     PISSN: 02544156     EISSN: None     Source Type: Journal    
DOI: 10.3724/SP.J.1004.2008.00097     Document Type: Article
Times cited : (16)

References (4)
  • 1
    • 29244455630 scopus 로고    scopus 로고
    • High precision radial basis function network model for predicting water environment nonlinear time series
    • Yang Xiao-Hua, Yang Zhi-Feng, Shen Zhen-Yao, Lu Gui-Hua, Li Jian-Qiang. High precision radial basis function network model for predicting water environment nonlinear time series. Advances in Water Science, 2005, 16 (6): 788-791
    • (2005) Advances in Water Science , vol.16 , Issue.6 , pp. 788-791
    • Yang, X.-H.1    Yang, Z.-F.2    Shen, Z.-Y.3    Lu, G.-H.4    Li, J.-Q.5
  • 2
    • 36849003538 scopus 로고    scopus 로고
    • On non-stationary behaviors and prediction theory of climate systems
    • Yang Pei-Cai, Zhou Xiu-Ji. On non-stationary behaviors and prediction theory of climate systems. Acta Meteorologica Sinica, 2005, (5): 556-570
    • (2005) Acta Meteorologica Sinica , Issue.5 , pp. 556-570
    • Yang, P.-C.1    Zhou, X.-J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.