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Volumn 6, Issue 7, 2011, Pages 1424-1429

Sunspot forecasting by using chaotic timeseries analysis and NARX network

Author keywords

Chaos; NARX; Sunspot; Time Series Prediction

Indexed keywords

ARIMA MODELS; BP NETWORKS; CHAOTIC TIME SERIES; EMBEDDING DIMENSIONS; LINEAR REGRESSION MODELS; NARX; NARX NETWORK; NON-LINEAR AUTOREGRESSIVE WITH EXOGENOUS; PREDICTION MODEL; STATIC NEURAL NETWORKS; SUNSPOT; SYSTEM'S DYNAMICS; TIME SERIES PREDICTION;

EID: 79960718974     PISSN: 1796203X     EISSN: None     Source Type: Journal    
DOI: 10.4304/jcp.6.7.1424-1429     Document Type: Article
Times cited : (24)

References (9)
  • 1
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    • The Modeling and Forecasting of Chaotic Time Series Based on Neural Network
    • C. Ying, P. Luo, "The Modeling and Forecasting of Chaotic Time Series Based on Neural Network", Comuputer Engineering and Applictions, 2005,(11)
    • (2005) Comuputer Engineering and Applictions , pp. 11
    • Ying, C.1    Luo, P.2
  • 2
    • 79960730733 scopus 로고    scopus 로고
    • Modeling and Multi-Step Prediction of Chaotic Time Series Based on RBF Neural Networks
    • D. Li, Z. Wang, "Modeling and Multi-Step Prediction of Chaotic Time Series Based on RBF Neural Networks", System Engineering and Electronic Technolgy, 2002,(06)
    • (2002) System Engineering and Electronic Technolgy , Issue.6
    • Li, D.1    Wang, Z.2
  • 3
    • 0343337355 scopus 로고    scopus 로고
    • Much A do about Nothing? Exchange Rates Forecasting: Neural Networks vs. Linear Models Using Monthly and Weekly Data
    • T. H. Hann, E. Steurer, "Much A do about Nothing? Exchange Rates Forecasting: Neural Networks vs. Linear Models Using Monthly and Weekly Data", Neurocomputing, 1996, 10:323-2339.
    • (1996) Neurocomputing , vol.10 , pp. 323-2339
    • Hann, T.H.1    Steurer, E.2
  • 6
    • 0032301756 scopus 로고    scopus 로고
    • Predicting a chaotic time series using a fuzzy neural network
    • L. P. Maguire, B. Roche, T. M. Mcginnity, "Predicting a chaotic time series using a fuzzy neural network", Information Sciences, 1998, 112:125-136.
    • (1998) Information Sciences , vol.112 , pp. 125-136
    • Maguire, L.P.1    Roche, B.2    McGinnity, T.M.3
  • 8
    • 0001874436 scopus 로고    scopus 로고
    • Practical method for determining the minimum embedding dimension of a scalar time series
    • L. Y. Cao, "Practical method for determining the minimum embedding dimension of a scalar time series", Physical D, 1997, 110: 43-50.
    • (1997) Physical D , vol.110 , pp. 43-50
    • Cao, L.Y.1
  • 9
    • 43949166788 scopus 로고
    • A practical method for calculating largest lyapunov exponents from small data sets
    • M. T. Rosenstein, J. J. Collins, L. C. J. De, "A practical method for calculating largest lyapunov exponents from small data sets", Physica D, 1993, 65:117-134
    • (1993) Physica D , vol.65 , pp. 117-134
    • Rosenstein, M.T.1    Collins, J.J.2    De, L.C.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.