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Volumn , Issue 392, 1996, Pages 261-267

Time series analysis and prediction of AE and DST data

Author keywords

[No Author keywords available]

Indexed keywords


EID: 5244234316     PISSN: 03796566     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article
Times cited : (3)

References (15)
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  • 2
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    • Multifractal structure of auroral electrojet index data
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  • 4
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    • Neural net forecasting for geomagnetic activity
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    • Prediction of geomagnetic storms from solar wind data with the use of a neural network
    • Lundstedt, H, and P. Wintoft, Prediction of geomagnetic storms from solar wind data with the use of a neural network, Ann. Geophys., 12 19, 1994.
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    • Lundstedt, H.1    Wintoft, P.2
  • 9
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    • Advanced supervised learning in multilayer perceptrons - From backpropagation to adaptive learning algorithms
    • Neural Networks
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    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 11
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    • Characteristic time scale of auroral electrojet data
    • Takalo, J., and J. Timonen, Characteristic time scale of auroral electrojet data, Geophys. Res. Lett., 21, 617, 1994.
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  • 13
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    • Structure function as a tool in AE and Dst time series analysis
    • Takalo, J., R. Lohikoski, and J. Timonen, Structure function as a tool in AE and Dst time series analysis, Geophys. Res. Lett., 22, 635, 1995.
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    • Predicting sunspots and exchange rates with connectionist networks
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    • Weigend, A.S., B.A. Huberman, and D.E. Rumelhart, Predicting sunspots and exchange rates with connectionist networks, in Nonlinear Modeling and Forecasting, edited by M. Casdagli, and S. Eubank, vol. XII of SFI Stud. Sci. Complexity, p. 395, Reading, Mass., Addison-Wesley, 1992.
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    • Weigend, A.S.1    Huberman, B.A.2    Rumelhart, D.E.3
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.