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Volumn 71, Issue 5, 2009, Pages 569-574

Forecasting solar cycle 24 using neural networks

Author keywords

Geomagnetic fields; Neural networks; Solar activity; Sunspots

Indexed keywords

GEOMAGNETISM; SANITARY SEWERS; SOLAR ENERGY; SOLAR RADIATION;

EID: 63549093833     PISSN: 13646826     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jastp.2008.12.003     Document Type: Article
Times cited : (21)

References (29)
  • 1
    • 63549125925 scopus 로고    scopus 로고
    • Calvo, R.A., Navone, H.D., Ceccatto, H.A., 2000. Neural network analysis of time series: applications to climate data. Technical Report, Instituto de Fisica Rosario (IFIR), UNR-CONICET.
    • Calvo, R.A., Navone, H.D., Ceccatto, H.A., 2000. Neural network analysis of time series: applications to climate data. Technical Report, Instituto de Fisica Rosario (IFIR), UNR-CONICET.
  • 2
    • 63549126300 scopus 로고    scopus 로고
    • Choudhuri, A.R., Chatterjee, P., Jiang, J., 2007. Predicting solar cycle 24 with a solar dynamo model. Technical Report astro-ph/0701527 v1, Department of Physics, Indian Institute of Sciences.
    • Choudhuri, A.R., Chatterjee, P., Jiang, J., 2007. Predicting solar cycle 24 with a solar dynamo model. Technical Report astro-ph/0701527 v1, Department of Physics, Indian Institute of Sciences.
  • 5
    • 0001293493 scopus 로고    scopus 로고
    • Time series, neural networks and the future of the Sun
    • Conway A.J. Time series, neural networks and the future of the Sun. New Astronomy Reviews 42 (1998) 343-394
    • (1998) New Astronomy Reviews , vol.42 , pp. 343-394
    • Conway, A.J.1
  • 7
    • 33646367164 scopus 로고    scopus 로고
    • Predicting the strength of solar cycle 24 using a flux transport dynamo-based tool
    • 10.1029/2005GL025221
    • Dikpati M., Gilman P.A., and de Toma G. Predicting the strength of solar cycle 24 using a flux transport dynamo-based tool. Geophysical Research Letters 33 5 (2006) L05102 10.1029/2005GL025221
    • (2006) Geophysical Research Letters , vol.33 , Issue.5
    • Dikpati, M.1    Gilman, P.A.2    de Toma, G.3
  • 9
    • 2842596918 scopus 로고    scopus 로고
    • On the prediction of solar activity using different neural network models
    • Fessant F., Bengio S., and Collobert D. On the prediction of solar activity using different neural network models. Annales Geophysicae 14 1 (1996) 20-26
    • (1996) Annales Geophysicae , vol.14 , Issue.1 , pp. 20-26
    • Fessant, F.1    Bengio, S.2    Collobert, D.3
  • 10
    • 0041495593 scopus 로고
    • Geomagnetic and solar wind cycles, 1900-1975
    • Feynman J. Geomagnetic and solar wind cycles, 1900-1975. Journal of Geophysical Research 87 (1982) 6153-6162
    • (1982) Journal of Geophysical Research , vol.87 , pp. 6153-6162
    • Feynman, J.1
  • 11
    • 38549171814 scopus 로고    scopus 로고
    • Geomagnetic activity indicates large amplitude for sunspot cycle 24
    • Hathaway D.H., and Wilson R.M. Geomagnetic activity indicates large amplitude for sunspot cycle 24. Geophysical Research Letters 33 L18101 (2006) 1-3
    • (2006) Geophysical Research Letters , vol.33 , Issue.L18101 , pp. 1-3
    • Hathaway, D.H.1    Wilson, R.M.2
  • 18
    • 23744446556 scopus 로고    scopus 로고
    • Solar activity explored with new wavelet methods
    • Lundsted H., Liszka L., and Lundin R. Solar activity explored with new wavelet methods. Annales Geophysicae 23 (2005) 1505-1511
    • (2005) Annales Geophysicae , vol.23 , pp. 1505-1511
    • Lundsted, H.1    Liszka, L.2    Lundin, R.3
  • 19
    • 0001593940 scopus 로고
    • Prediction of solar and geomagnetic activity data using neural networks
    • Macpherson K.P., Conway A.J., and Brown J.C. Prediction of solar and geomagnetic activity data using neural networks. Journal of Geophysical Research 100 A11 (1995) 21,735-21,744
    • (1995) Journal of Geophysical Research , vol.100 , Issue.A11
    • Macpherson, K.P.1    Conway, A.J.2    Brown, J.C.3
  • 21
    • 63549145997 scopus 로고    scopus 로고
    • Pesnell, W.D., 2007. Predictions of solar cycle 24. Technical Report, NASA, Goddard Space Flight Center.
    • Pesnell, W.D., 2007. Predictions of solar cycle 24. Technical Report, NASA, Goddard Space Flight Center.
  • 22
    • 0035494005 scopus 로고    scopus 로고
    • Solar cycle forecasting: a nonlinear dynamics approach
    • Sello S. Solar cycle forecasting: a nonlinear dynamics approach. Astronomy and Astrophysics 377 (2001) 312-320
    • (2001) Astronomy and Astrophysics , vol.377 , pp. 312-320
    • Sello, S.1
  • 24
    • 37249025164 scopus 로고    scopus 로고
    • Interhourly variability index of geomagnetic activity and its use in deriving the long-term variation of solar wind speed
    • 10.1029/2005SW000207
    • Svalgaard L., and Cliver E.W. Interhourly variability index of geomagnetic activity and its use in deriving the long-term variation of solar wind speed. Journal of Geophysical Research 112 A10111 (2007) S09005 10.1029/2005SW000207
    • (2007) Journal of Geophysical Research , vol.112 , Issue.A10111
    • Svalgaard, L.1    Cliver, E.W.2
  • 25
    • 16344392413 scopus 로고    scopus 로고
    • Sunspot cycle 24: smallest cycle in 100 years?
    • 10.1029/2004GL021664
    • Svalgaard L., Cliver E.W., and Kamide Y. Sunspot cycle 24: smallest cycle in 100 years?. Geophysical Research Letters 32 L01104 (2005) 555 10.1029/2004GL021664
    • (2005) Geophysical Research Letters , vol.32 , Issue.L01104 , pp. 555
    • Svalgaard, L.1    Cliver, E.W.2    Kamide, Y.3
  • 27
    • 0000958183 scopus 로고
    • A technique for predicting the amplitude of the solar cycle
    • Thompson A.J. A technique for predicting the amplitude of the solar cycle. Solar Physics 148 (1993) 383-388
    • (1993) Solar Physics , vol.148 , pp. 383-388
    • Thompson, A.J.1
  • 28
    • 0030386647 scopus 로고    scopus 로고
    • Neural networks, foF2, sunspot number and magnetic activity
    • Williscroft L.A., and Poole A.W.V. Neural networks, foF2, sunspot number and magnetic activity. Geophysical Research Letters 24 (1996) 3659-3662
    • (1996) Geophysical Research Letters , vol.24 , pp. 3659-3662
    • Williscroft, L.A.1    Poole, A.W.V.2
  • 29
    • 0003819901 scopus 로고    scopus 로고
    • Solar cycle variation and application to the space radiation environment
    • Technical Report 209369, NASA Scientific and Technical Information STI
    • Wilson, J.W., Kim, M.-H.Y., Shinn, J.L., Tai, H., 1999. Solar cycle variation and application to the space radiation environment. Technical Report 209369, NASA Scientific and Technical Information (STI).
    • (1999)
    • Wilson, J.W.1    Kim, M.-H.Y.2    Shinn, J.L.3    Tai, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.