메뉴 건너뛰기




Volumn , Issue , 2008, Pages 259-264

Function approximation based on twin Support Vector Machines

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; INTELLIGENT SYSTEMS; SUPPORT VECTOR MACHINES;

EID: 57649239010     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIS.2008.4670876     Document Type: Conference Paper
Times cited : (5)

References (12)
  • 1
    • 0028428006 scopus 로고
    • A Robust Back-propagation Learning Algorithm for Function Approximation
    • May
    • D.S. Chen and R.C. Jain, A Robust Back-propagation Learning Algorithm for Function Approximation, IEEE Transactions on Neural Networks, Vol. 5, pp. 467-479, May 1994.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , pp. 467-479
    • Chen, D.S.1    Jain, R.C.2
  • 2
    • 27144489164 scopus 로고    scopus 로고
    • A Tutorial on Support Vector Machines for Pattern Recognition
    • C.J.C. Burges, A Tutorial on Support Vector Machines for Pattern Recognition, Data Mining Knowledge Discover, Vol. 2, No. 2, 1996.
    • (1996) Data Mining Knowledge Discover , vol.2 , Issue.2
    • Burges, C.J.C.1
  • 3
    • 57649144467 scopus 로고    scopus 로고
    • A.J. Smola and B. Schälkopf, A Tutorial on Support Vector Regression, Royal Holloway College, London, U.K., Neuro COLT Tech. Rep. TR-1998-030, 1998.
    • A.J. Smola and B. Schälkopf, A Tutorial on Support Vector Regression, Royal Holloway College, London, U.K., Neuro COLT Tech. Rep. TR-1998-030, 1998.
  • 6
    • 0036856978 scopus 로고    scopus 로고
    • Robust Support Vector Regression Networks for Funtion Approximation with Outliers
    • November
    • C.C. Chuang, S.F. Su, J.T. Jeng and C.C. Hsiao, Robust Support Vector Regression Networks for Funtion Approximation with Outliers, IEEE Transactions on Neural Networks, Vol. 13, No. 6, pp. 1322-1330, November 2002.
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.6 , pp. 1322-1330
    • Chuang, C.C.1    Su, S.F.2    Jeng, J.T.3    Hsiao, C.C.4
  • 7
    • 0036996331 scopus 로고    scopus 로고
    • Support-vector-based Least Squares for Learning Non-linear Dynamics
    • B.J. de Kruif and T.J.A. de Vries, Support-vector-based Least Squares for Learning Non-linear Dynamics, in Proceedings of the CDC'02, 2002.
    • (2002) Proceedings of the CDC'02
    • de Kruif, B.J.1    de Vries, T.J.A.2
  • 8
    • 14844347965 scopus 로고    scopus 로고
    • J.A. Piñeiro, S.F. Oberman, J.M. Muller and J.D. Bruguera,High-Speed Function Approximation Using a Minimax Quadratic Interpolator, IEEE Transactions on Computers, 54, No. 3, pp. 304-318, March 2005.
    • J.A. Piñeiro, S.F. Oberman, J.M. Muller and J.D. Bruguera,High-Speed Function Approximation Using a Minimax Quadratic Interpolator, IEEE Transactions on Computers, Vol. 54, No. 3, pp. 304-318, March 2005.
  • 9
    • 13844255524 scopus 로고    scopus 로고
    • Smooth Function Approximation Using Neural Networks
    • January
    • S. Ferrari and R.F. Stengel, Smooth Function Approximation Using Neural Networks, IEEE Transactions on Neural Networks, Vol. 16, No. 1, pp. 24-38, January 2005.
    • (2005) IEEE Transactions on Neural Networks , vol.16 , Issue.1 , pp. 24-38
    • Ferrari, S.1    Stengel, R.F.2
  • 10
    • 33644830072 scopus 로고    scopus 로고
    • Multisurface Proximal Support Vector Machine Classification via Generalized Eigenvalues
    • January
    • O.L. Mangasarian and E.W. Wild, Multisurface Proximal Support Vector Machine Classification via Generalized Eigenvalues, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, No. 1, pp. 69-74, January 2006.
    • (2006) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.28 , Issue.1 , pp. 69-74
    • Mangasarian, O.L.1    Wild, E.W.2
  • 11
    • 36349022748 scopus 로고    scopus 로고
    • Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation
    • November
    • J.Y. Goulermas, P. Liatsis, X.J. Zeng and P. Cook, Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation, IEEE Transactions on Neural Networks, Vol. 18, No. 6, pp. 1683-1696, November 2007.
    • (2007) IEEE Transactions on Neural Networks , vol.18 , Issue.6 , pp. 1683-1696
    • Goulermas, J.Y.1    Liatsis, P.2    Zeng, X.J.3    Cook, P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.