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Volumn 5, Issue , 2003, Pages 3702-3707

A Soft Sensor Modeling Approach Using Support Vector Machines

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; MONTE CARLO METHODS; OPTIMIZATION; RADIAL BASIS FUNCTION NETWORKS; RISKS; SYSTEMS ANALYSIS;

EID: 0142231370     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (22)

References (18)
  • 4
    • 0034661658 scopus 로고    scopus 로고
    • Soft sensors development for on-line bioreactor state estimation
    • July 15
    • De Assis Adilson Jose, Filho Rubens Maciel, Soft sensors development for on-line bioreactor state estimation. Computers and Chemical Engineering, Volume: 24, Issue: 2-7, July 15, 2000, pp. 1099-1103
    • (2000) Computers and Chemical Engineering , vol.24 , Issue.2-7 , pp. 1099-1103
    • Jose, D.A.A.1    Maciel, F.R.2
  • 5
    • 0030421740 scopus 로고    scopus 로고
    • Designing a soft sensor for a distillation column with the fuzzy distributed radial basis function neural network
    • Xudong Wang, Rongfu Luo and Huihe Shao, Designing a soft sensor for a distillation column with the fuzzy distributed radial basis function neural network. Proceedings of the 35th IEEE Conference on Decision and Control, Volume: 2, 1996, pp. 1714-1719 vol.2
    • (1996) Proceedings of the 35th IEEE Conference on Decision and Control, Volume: 2 , vol.2 , pp. 1714-1719
    • Wang, X.1    Luo, R.2    Shao, H.3
  • 6
    • 0003642582 scopus 로고    scopus 로고
    • Continuous valued neural networks with two hidden layers are sufficient
    • Department of Computer Science, Tufts University, Medford, Massachusetts
    • G.Cybenko, Continuous valued neural networks with two hidden layers are sufficient. Technical report, Department of Computer Science, Tufts University, Medford, Massachusetts, 1998
    • (1998) Technical Report
    • Cybenko, G.1
  • 7
    • 0030221021 scopus 로고    scopus 로고
    • An Integral Representation of functions using three-layered networks and their approximation bounds
    • Noboru Nurata. An Integral Representation of functions using three-layered networks and their approximation bounds. Neural Networks, 9(6), pp. 947-956
    • Neural Networks , vol.9 , Issue.6 , pp. 947-956
    • Nurata, N.1
  • 8
    • 0001740650 scopus 로고
    • Training with noise is equivalent to Tikohonov regularization
    • C.M.Bishop, Training with noise is equivalent to Tikohonov regularization. Neural Computation, 7, pp.108-116, 1995
    • (1995) Neural Computation , vol.7 , pp. 108-116
    • Bishop, C.M.1
  • 17
    • 84902135669 scopus 로고    scopus 로고
    • Weighted Least Squares Support Vector Machines robustness and sparse approximation
    • J.A.K.Sukens, J.De Brabanter, L.Lukas, and J.Vandewalle, Weighted Least Squares Support Vector Machines robustness and sparse approximation. To appear in Neurocomputing special issue.
    • Neurocomputing , Issue.SPEC. ISSUE
    • Sukens, J.A.K.1    De Brabanter, J.2    Lukas, L.3    Vandewalle, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.