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Volumn 2623, Issue , 2003, Pages 188-202

Conditions of optimal classification for piecewise affine regression

Author keywords

[No Author keywords available]

Indexed keywords

HYBRID SYSTEMS; REGRESSION ANALYSIS;

EID: 14844343897     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36580-x_16     Document Type: Article
Times cited : (13)

References (11)
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    • Hinging hyperplanes for regression, classification, and function approximation
    • L. Breiman. Hinging hyperplanes for regression, classification, and function approximation. IEEE Trans. Inform. Theory, 39(3):999-1013, 1993.
    • (1993) IEEE Trans. Inform. Theory , vol.39 , Issue.3 , pp. 999-1013
    • Breiman, L.1
  • 3
    • 84944231086 scopus 로고    scopus 로고
    • A clustering technique for the identification of piecewise affine systems
    • M. Di Benedetto and A. Sangiovanni-Vincentelli, editors, Proc. 4th International Workshop on Hybrid Systems: Computation and Control Springer-Verlag
    • G. Ferrari-Trecate, M. Muselli, D. Liberati, and M. Morari. A clustering technique for the identification of piecewise affine systems. In M. Di Benedetto and A. Sangiovanni-Vincentelli, editors, Proc. 4th International Workshop on Hybrid Systems: Computation and Control, volume 2034 of Lecture Notes in Computer Science, pages 218-231. Springer-Verlag, 2001.
    • (2001) Lecture Notes in Computer Science , vol.2034 , pp. 218-231
    • Ferrari-Trecate, G.1    Muselli, M.2    Liberati, D.3    Morari, M.4
  • 4
    • 0037293274 scopus 로고    scopus 로고
    • A clustering technique for the identification of piecewise affine systems
    • To appear
    • G. Ferrari-Trecate, M. Muselli, D. Liberati, and M. Morari. A clustering technique for the identification of piecewise affine systems. Automatica, 39(2), 2002. To appear.
    • (2002) Automatica , vol.39 , Issue.2
    • Ferrari-Trecate, G.1    Muselli, M.2    Liberati, D.3    Morari, M.4
  • 5
    • 0003419866 scopus 로고    scopus 로고
    • Technical report, Institute for Neural Computation. Ruhr-Universit at Bochum
    • B. Fritzke. Some competitive learning methods. Technical report, Institute for Neural Computation. Ruhr-Universit at Bochum, 1997.
    • (1997) Some Competitive Learning Methods
    • Fritzke, B.1
  • 8
    • 0034298922 scopus 로고    scopus 로고
    • Nonlinear filters based on combinations of piecewise polynomials with compact support
    • E.A. Heredia and R.A. Gonzalo. Nonlinear filters based on combinations of piecewise polynomials with compact support. IEEE Trans. on Signal Processing, 48(10):2850-2863, 2000.
    • (2000) IEEE Trans. on Signal Processing , vol.48 , Issue.10 , pp. 2850-2863
    • Heredia, E.A.1    Gonzalo, R.A.2
  • 9
    • 0029247140 scopus 로고
    • Identification of non-linear system structure and parameters using regime decomposition
    • T.A. Johansen and B.A. Foss. Identification of non-linear system structure and parameters using regime decomposition. Automatica, 31(2):321-326, 1995.
    • (1995) Automatica , vol.31 , Issue.2 , pp. 321-326
    • Johansen, T.A.1    Foss, B.A.2
  • 10
    • 0001654728 scopus 로고
    • On convergence of K-means and partitions with minimum average variance
    • Abstract
    • J. MacQueen. On convergence of K-means and partitions with minimum average variance. Ann. Math. Statist., 36:1084, 1965. Abstract.
    • (1965) Ann. Math. Statist. , vol.36 , pp. 1084
    • MacQueen, J.1
  • 11
    • 0019559589 scopus 로고
    • Nonlinear regulation: The piecewise linear approach
    • April
    • E. D. Sontag. Nonlinear regulation: The piecewise linear approach. IEEE Trans. Automatic Control, 26(2):346-358, April 1981.
    • (1981) IEEE Trans. Automatic Control , vol.26 , Issue.2 , pp. 346-358
    • Sontag, E.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.