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Volumn 1, Issue , 2005, Pages 414-418

Nonlinear system identification using least squares support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CONSTRAINT THEORY; IDENTIFICATION (CONTROL SYSTEMS); LEAST SQUARES APPROXIMATIONS; NONLINEAR SYSTEMS; STATISTICAL METHODS;

EID: 33750961061     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (15)
  • 2
    • 0032594959 scopus 로고    scopus 로고
    • An overview of statistical Learning Theory
    • V. Vapnik, An overview of statistical Learning Theory, IEEE Trans. Neural Network, 10 (5) (1999)988-999.
    • (1999) IEEE Trans. Neural Network , vol.10 , Issue.5 , pp. 988-999
    • Vapnik, V.1
  • 6
    • 0003798627 scopus 로고    scopus 로고
    • B. SchVolkopf, C. Burges, A. Smola Eds, MIT Press, Cambridge, MA
    • B. SchVolkopf, C. Burges, A. Smola (Eds.), Advances in Kernel Methods - Support Vector Learning, MIT Press, Cambridge, MA, 1998.
    • (1998) Advances in Kernel Methods - Support Vector Learning
  • 8
    • 0032098361 scopus 로고    scopus 로고
    • The connection between regularization operators and support vector kernels
    • A. Smola, B. SchVolkopf, K.-R. MVuller, The connection between regularization operators and support vector kernels, Neural Networks. 11 (1998) 637-649.
    • (1998) Neural Networks , vol.11 , pp. 637-649
    • Smola, A.1    SchVolkopf, B.2    MVuller, K.-R.3
  • 9
    • 24044515976 scopus 로고    scopus 로고
    • On a kernel-based method for pattern recognition, regression, approximation and operator inversion
    • A. Smola, B. SchVolkopf, On a kernel-based method for pattern recognition, regression, approximation and operator inversion, Algorithmica 22 (1998) 211-231.
    • (1998) Algorithmica , vol.22 , pp. 211-231
    • Smola, A.1    SchVolkopf, B.2
  • 10
    • 0003953609 scopus 로고    scopus 로고
    • J.A.K. Suykens, J. Vandewalle Eds, Kluwer Academic Publishers, Boston
    • J.A.K. Suykens, J. Vandewalle (Eds.), Nonlinear Modeling: Advanced Black-box Techniques, Kluwer Academic Publishers, Boston, 1998.
    • (1998) Nonlinear Modeling: Advanced Black-box Techniques
  • 11
    • 24044515976 scopus 로고    scopus 로고
    • On a kernel-based method for pattern recognition, regression, approximation and operator inversion
    • A. Smola, B. SchVolkopf, On a kernel-based method for pattern recognition, regression, approximation and operator inversion, Algorithmica, 22 (1998) 211-231.
    • (1998) Algorithmica , vol.22 , pp. 211-231
    • Smola, A.1    SchVolkopf, B.2
  • 13
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • J.A.K. Suykens, J. Vandewalle, Least squares support vector machine classifiers, Neural Process. Lett. 9 (3) (1999) 293-300.
    • (1999) Neural Process. Lett , vol.9 , Issue.3 , pp. 293-300
    • Suykens, J.A.K.1    Vandewalle, J.2
  • 14
    • 0035181296 scopus 로고    scopus 로고
    • Optimal Control by Least Squares Support Vector Machines
    • J.A.K. Suykens, J. Vandewalle, B. De Moor, Optimal Control by Least Squares Support Vector Machines, Neural Networks 14 (1) (2001) 23-35.
    • (2001) Neural Networks , vol.14 , Issue.1 , pp. 23-35
    • Suykens, J.A.K.1    Vandewalle, J.2    De Moor, B.3
  • 15
    • 6344246189 scopus 로고    scopus 로고
    • Study of Nonlinear System Identification Based on Support Vector Machines
    • Shanghai, China, Aug
    • Ming-guang Zhang,Wei-wuYan,Zhan-ting Yuan. Study of Nonlinear System Identification Based on Support Vector Machines. IEEE ICMLC2005,Shanghai, China, Aug.2004. pp3287-3290.
    • (2004) IEEE ICMLC2005 , pp. 3287-3290
    • Ming-guang Zhang, W.1    Yuan, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.