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Volumn , Issue , 2007, Pages 1546-1549

Modified mixture of experts for analysis of EEG signals

Author keywords

Diverse features; Lyapunov exponents; Modified mixture of experts; Wavelet coefficients

Indexed keywords

EXPERT SYSTEMS; FEATURE EXTRACTION; LYAPUNOV FUNCTIONS; MATHEMATICAL MODELS; WAVELET TRANSFORMS;

EID: 57649155303     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4352598     Document Type: Conference Paper
Times cited : (4)

References (11)
  • 2
    • 0032876594 scopus 로고    scopus 로고
    • Improved learning algorithms for mixture of experts in multiclass classification
    • K. Chen, L. Xu, and H. Chi, "Improved learning algorithms for mixture of experts in multiclass classification," Neural Networks, vol. 12, no. 9, pp. 1229-1252, 1999.
    • (1999) Neural Networks , vol.12 , Issue.9 , pp. 1229-1252
    • Chen, K.1    Xu, L.2    Chi, H.3
  • 3
    • 0036170354 scopus 로고    scopus 로고
    • A mixture of experts network structure construction algorithm for modelling and control
    • X. Hong, and C.J. Harris, "A mixture of experts network structure construction algorithm for modelling and control," Applied Intelligence, vol. 16, no. 1, pp. 59-69, 2002.
    • (2002) Applied Intelligence , vol.16 , Issue.1 , pp. 59-69
    • Hong, X.1    Harris, C.J.2
  • 4
    • 0000262562 scopus 로고
    • Hierarchical mixture of experts and the EM algorithm
    • M.I. Jordan, and R.A.Jacobs, "Hierarchical mixture of experts and the EM algorithm," Neural Computation, vol. 6, no. 2, pp. 181-214, 1994.
    • (1994) Neural Computation , vol.6 , Issue.2 , pp. 181-214
    • Jordan, M.I.1    Jacobs, R.A.2
  • 5
    • 16844367664 scopus 로고    scopus 로고
    • A mixture of experts network structure for modelling Doppler ultrasound blood flow signals
    • İ. Güler, and E.D. Übeyli, "A mixture of experts network structure for modelling Doppler ultrasound blood flow signals," Computers in Biology and Medicine, vol. 35, no. 7, pp. 565-582, 2005.
    • (2005) Computers in Biology and Medicine , vol.35 , Issue.7 , pp. 565-582
    • Güler, I.1    Übeyli, E.D.2
  • 6
    • 0032066455 scopus 로고    scopus 로고
    • A connectionist method for pattern classification with diverse features
    • K. Chen, "A connectionist method for pattern classification with diverse features," Pattern Recognition Letters, vol.19, no. 7, pp. 545-558, 1998.
    • (1998) Pattern Recognition Letters , vol.19 , Issue.7 , pp. 545-558
    • Chen, K.1
  • 7
    • 0031141135 scopus 로고    scopus 로고
    • Classification of EEG signals using the wavelet transform
    • N. Hazarika, J.Z. Chen, A.C. Tsoi, and A. Sergejew, "Classification of EEG signals using the wavelet transform," Signal Processing, vol. 59, no. 1, pp. 61-72, 1997.
    • (1997) Signal Processing , vol.59 , Issue.1 , pp. 61-72
    • Hazarika, N.1    Chen, J.Z.2    Tsoi, A.C.3    Sergejew, A.4
  • 8
    • 0037441741 scopus 로고    scopus 로고
    • Analysis of EEG records in an epileptic patient using wavelet transform
    • H. Adeli, Z. Zhou, and N. Dadmehr, "Analysis of EEG records in an epileptic patient using wavelet transform," Journal of Neuroscience Methods, vol. 123, no. 1, pp. 69-87, 2003.
    • (2003) Journal of Neuroscience Methods , vol.123 , Issue.1 , pp. 69-87
    • Adeli, H.1    Zhou, Z.2    Dadmehr, N.3
  • 10
    • 9644262694 scopus 로고    scopus 로고
    • I7dot;. Güler, and E.D. Übeyli, Detecting variability of internal carotid arterial Doppler signals by Lyapunov exponents, Medical Engineering & Physics, 26, no. 9, pp. 763-771, 2004.
    • I7dot;. Güler, and E.D. Übeyli, "Detecting variability of internal carotid arterial Doppler signals by Lyapunov exponents," Medical Engineering & Physics, vol. 26, no. 9, pp. 763-771, 2004.
  • 11
    • 0035682573 scopus 로고    scopus 로고
    • Indications of nonlinear deterministic and finite-dimensional structures in time seires of brain electrical activity: Dependence on recording region and brain state
    • R.G. Andrzejak, K. Lehnertz, F. Mormann, C. Rieke, P. David, and C.E. Elger, "Indications of nonlinear deterministic and finite-dimensional structures in time seires of brain electrical activity: dependence on recording region and brain state," Physical Review E, vol. 64, 061907, 2001.
    • (2001) Physical Review E , vol.64 , pp. 061907
    • Andrzejak, R.G.1    Lehnertz, K.2    Mormann, F.3    Rieke, C.4    David, P.5    Elger, C.E.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.