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Volumn 106, Issue A12, 2001, Pages 29911-29914

Support vector machine as an efficient tool for high-dimensional data processing: Application to substorm forecasting

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Indexed keywords


EID: 39449088098     PISSN: None     EISSN: 21699402     Source Type: Journal    
DOI: 10.1029/2001ja900118     Document Type: Article
Times cited : (36)

References (22)
  • 2
    • 0034228643 scopus 로고    scopus 로고
    • The analysis of decomposition methods for support vector machines
    • Chang, C.-C., C.-W. Hsu, and C.-J. Lin, The analysis of decomposition methods for support vector machines, IEEE Trans. Neural Networks, 11, 1003, 2000.
    • (2000) IEEE Trans. Neural Networks , vol.11 , pp. 1003
    • Chang, C.-C.1    Hsu, C.-W.2    Lin, C.-J.3
  • 3
    • 0001328872 scopus 로고    scopus 로고
    • Self-organized criticality, multi-fractal spectra, sporadic localized reconnections and intermittent turbulence in the magnetotail
    • Chang, T., Self-organized criticality, multi-fractal spectra, sporadic localized reconnections and intermittent turbulence in the magnetotail, Phys. Plasmas, 6, 4137, 1999.
    • (1999) Phys. Plasmas , vol.6 , pp. 4137
    • Chang, T.1
  • 5
    • 0001609943 scopus 로고
    • Topological structure of the magnetotail as a function of interplanetary magnetic field direction
    • Fedder, J. A., J. G. Lyon, S. P. Slinker, and C. M. Mobarry, Topological structure of the magnetotail as a function of interplanetary magnetic field direction, J. Geophys. Res., 100, 3613, 1995.
    • (1995) J. Geophys. Res. , vol.100 , pp. 3613
    • Fedder, J.A.1    Lyon, J.G.2    Slinker, S.P.3    Mobarry, C.M.4
  • 6
    • 0013391409 scopus 로고    scopus 로고
    • Optimization of the neutral-network geomagnetic model for forecasting large-amplitude substorm events
    • Gavrishchaka, V. V., and S. B. Ganguli, Optimization of the neutral-network geomagnetic model for forecasting large-amplitude substorm events, J. Geophys. Res., 106, 6247, 2001.
    • (2001) J. Geophys. Res. , vol.106 , pp. 6247
    • Gavrishchaka, V.V.1    Ganguli, S.B.2
  • 7
    • 37149021663 scopus 로고    scopus 로고
    • Response of the auroral electrojets to the solar wind modeled with neural networks
    • Gleisner, H., and H. Lundstedt, Response of the auroral electrojets to the solar wind modeled with neural networks, J. Geophys. Res., 102, 14,269, 1997.
    • (1997) J. Geophys. Res. , vol.102
    • Gleisner, H.1    Lundstedt, H.2
  • 8
    • 0010039270 scopus 로고    scopus 로고
    • Predicting geomagnetic storms from solar-wind data using time-delay neural networks
    • Gleisner, H., H. Lundstedt, and P. Wintoft, Predicting geomagnetic storms from solar-wind data using time-delay neural networks, Ann. Geophys., 14, 679, 1996.
    • (1996) Ann. Geophys. , vol.14 , pp. 679
    • Gleisner, H.1    Lundstedt, H.2    Wintoft, P.3
  • 10
    • 0001442718 scopus 로고    scopus 로고
    • A low-dimensional dynamical model for the solar wind driven geotail-ionosphere system
    • Horton, W., and I. Doxas, A low-dimensional dynamical model for the solar wind driven geotail-ionosphere system, J. Geophys. Res., 103, 4561, 1998.
    • (1998) J. Geophys. Res. , vol.103 , pp. 4561
    • Horton, W.1    Doxas, I.2
  • 11
    • 0141896914 scopus 로고    scopus 로고
    • The solar-wind driven magnetosphere-ionosphere as a complex dynamical system
    • Horton, W., et al., The solar-wind driven magnetosphere-ionosphere as a complex dynamical system, Phys. Plasmas, 6, 4178, 1999.
    • (1999) Phys. Plasmas , vol.6 , pp. 4178
    • Horton, W.1
  • 12
    • 0000262255 scopus 로고
    • Geomagnetic activity forecasting: The state of the art
    • Joselyn, J. A., Geomagnetic activity forecasting: The state of the art, Rev. Geophys., 33, 383, 1995.
    • (1995) Rev. Geophys. , vol.33 , pp. 383
    • Joselyn, J.A.1
  • 15
    • 0035820749 scopus 로고    scopus 로고
    • Universal learning curves of support vector machines
    • Opper, M., and R. Urbanczik, Universal learning curves of support vector machines, Phys. Rev. Lett., 86, 4410, 2001.
    • (2001) Phys. Rev. Lett. , vol.86 , pp. 4410
    • Opper, M.1    Urbanczik, R.2
  • 16
    • 11144273669 scopus 로고
    • The perceptron: A probabilistic model for information storage and organization in the brain
    • Rosenblatt, F., The perceptron: A probabilistic model for information storage and organization in the brain, Psych. Rev., 65, 386, 1958.
    • (1958) Psych. Rev. , vol.65 , pp. 386
    • Rosenblatt, F.1
  • 17
    • 37149027554 scopus 로고    scopus 로고
    • The global ionosphere-polar wind system during changing magnetic activity
    • Schunk, R. W., and J. J. Sojka, The global ionosphere-polar wind system during changing magnetic activity, J. Geophys. Res., 102, 11,625, 1997.
    • (1997) J. Geophys. Res. , vol.102
    • Schunk, R.W.1    Sojka, J.J.2
  • 18
    • 0001520837 scopus 로고
    • Assesing the nonlinear behavior of the magnetosphere: Its dimension is low, its predictability is high
    • Sharma, A. S., Assesing the nonlinear behavior of the magnetosphere: Its dimension is low, its predictability is high, Rev. Geophys., 33, 645, 1995.
    • (1995) Rev. Geophys. , vol.33 , pp. 645
    • Sharma, A.S.1
  • 21
    • 0001024505 scopus 로고
    • On the uniform convergence of relative frequencies of events to their probabilities
    • Vapnik, V., and A. Chervonenkis, On the uniform convergence of relative frequencies of events to their probabilities, Theor. Probab. Appl., 16(2), 264, 1971.
    • (1971) Theor. Probab. Appl. , vol.16 , Issue.2 , pp. 264
    • Vapnik, V.1    Chervonenkis, A.2
  • 22
    • 0033562211 scopus 로고    scopus 로고
    • Forecasting auroral electrojet activity from solar wind input with neural networks
    • Weigel, R. S., W. Horton, T. Tajima, and T. Detman, Forecasting auroral electrojet activity from solar wind input with neural networks, Geophys. Res. Lett., 26, 1353, 1999.
    • (1999) Geophys. Res. Lett. , vol.26 , pp. 1353
    • Weigel, R.S.1    Horton, W.2    Tajima, T.3    Detman, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.