메뉴 건너뛰기




Volumn 178, Issue 20, 2008, Pages 3813-3827

Support vector regression from simulation data and few experimental samples

Author keywords

Engine control; Nonlinear modeling; Prior knowledge; Residual gas fraction; SI engine; Support Vector Machine (SVM)

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; ENGINE CYLINDERS; ESTIMATION; FOOD PROCESSING; KNOWLEDGE BASED SYSTEMS; LINEAR PROGRAMMING; LINEARIZATION; MODELS; SIMULATORS; VECTORS;

EID: 48749127818     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2008.05.016     Document Type: Article
Times cited : (63)

References (25)
  • 1
    • 48749094507 scopus 로고    scopus 로고
    • A. Chevalier, M. Müller, E. Hendricks, On the validity of mean value engine models during transient operation, SAE Technical Papers, 2000-01-1261, 2000.
    • A. Chevalier, M. Müller, E. Hendricks, On the validity of mean value engine models during transient operation, SAE Technical Papers, 2000-01-1261, 2000.
  • 2
    • 34547116621 scopus 로고    scopus 로고
    • Neural control of fast nonlinear systems - Application to a turbocharged SI engine with VCT
    • Colin G., Chamaillard Y., Bloch G., and Corde G. Neural control of fast nonlinear systems - Application to a turbocharged SI engine with VCT. IEEE Transactions on Neural Networks 18 4 (2007) 1101-1114
    • (2007) IEEE Transactions on Neural Networks , vol.18 , Issue.4 , pp. 1101-1114
    • Colin, G.1    Chamaillard, Y.2    Bloch, G.3    Corde, G.4
  • 3
    • 85072446119 scopus 로고    scopus 로고
    • J.W. Fox, W.K. Cheng, J.B. Heywood, A model for predicting residual gas fraction in spark-ignition engines, SAE Technical Papers, 931025, 1993.
    • J.W. Fox, W.K. Cheng, J.B. Heywood, A model for predicting residual gas fraction in spark-ignition engines, SAE Technical Papers, 931025, 1993.
  • 7
    • 48749115588 scopus 로고    scopus 로고
    • Imagine, Amesim Web site www.amesim.com, 2006.
    • Imagine, Amesim Web site www.amesim.com, 2006.
  • 8
    • 0034539754 scopus 로고    scopus 로고
    • M. Jankovic, S. Magner, S. Hsieh, J. Konesol, Transient effects and torque control of engines with variable cam timing, in: Proceedings of the American Control Conference, vol. 1, San Francisco, CA, September 2000, pp. 50-54.
    • M. Jankovic, S. Magner, S. Hsieh, J. Konesol, Transient effects and torque control of engines with variable cam timing, in: Proceedings of the American Control Conference, vol. 1, San Francisco, CA, September 2000, pp. 50-54.
  • 9
    • 40649086418 scopus 로고    scopus 로고
    • Incorporating prior knowledge in support vector machines for classification: a review
    • Lauer F., and Bloch G. Incorporating prior knowledge in support vector machines for classification: a review. Neurocomputing 71 7-9 (2008) 1578-1594
    • (2008) Neurocomputing , vol.71 , Issue.7-9 , pp. 1578-1594
    • Lauer, F.1    Bloch, G.2
  • 10
    • 36849072437 scopus 로고    scopus 로고
    • Incorporating prior knowledge in support vector regression
    • Lauer F., and Bloch G. Incorporating prior knowledge in support vector regression. Machine Learning 70 1 (2008) 89-118
    • (2008) Machine Learning , vol.70 , Issue.1 , pp. 89-118
    • Lauer, F.1    Bloch, G.2
  • 11
    • 33947170570 scopus 로고    scopus 로고
    • A trainable feature extractor for handwritten digit recognition
    • Lauer F., Suen C.Y., and Bloch G. A trainable feature extractor for handwritten digit recognition. Pattern Recognition 40 6 (2007) 1816-1824
    • (2007) Pattern Recognition , vol.40 , Issue.6 , pp. 1816-1824
    • Lauer, F.1    Suen, C.Y.2    Bloch, G.3
  • 13
    • 27844606351 scopus 로고    scopus 로고
    • Support vector regression for the simultaneous learning of a multivariate function and its derivatives
    • Lázaro M., Santamaria I., Pérez-Cruz F., and Artés-Rodriguez A. Support vector regression for the simultaneous learning of a multivariate function and its derivatives. Neurocomputing 69 (2005) 42-61
    • (2005) Neurocomputing , vol.69 , pp. 42-61
    • Lázaro, M.1    Santamaria, I.2    Pérez-Cruz, F.3    Artés-Rodriguez, A.4
  • 14
    • 33847706511 scopus 로고    scopus 로고
    • Hybridizing mixtures of experts with support vector machines: Investigation into nonlinear dynamic systems identification
    • Lima C.A.M., Coelho A.L.V., and Von Zuben F.J. Hybridizing mixtures of experts with support vector machines: Investigation into nonlinear dynamic systems identification. Information Sciences 177 10 (2007) 2049-2074
    • (2007) Information Sciences , vol.177 , Issue.10 , pp. 2049-2074
    • Lima, C.A.M.1    Coelho, A.L.V.2    Von Zuben, F.J.3
  • 15
    • 0001777975 scopus 로고    scopus 로고
    • Generalized support vector machines
    • Smola A., Bartlett P., Schölkopf B., and Schuurmans D. (Eds), MIT Press, Cambridge, MA, USA pp. 135-146
    • Mangasarian O. Generalized support vector machines. In: Smola A., Bartlett P., Schölkopf B., and Schuurmans D. (Eds). Advances in Large Margin Classifiers (2000), MIT Press, Cambridge, MA, USA pp. 135-146
    • (2000) Advances in Large Margin Classifiers
    • Mangasarian, O.1
  • 16
    • 0036161035 scopus 로고    scopus 로고
    • Large scale kernel regression via linear programming
    • Mangasarian O.L., and Musicant D.R. Large scale kernel regression via linear programming. Machine Learning 46 1-3 (2002) 255-269
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 255-269
    • Mangasarian, O.L.1    Musicant, D.R.2
  • 17
    • 0002941010 scopus 로고    scopus 로고
    • Support vector machines for dynamic reconstruction of a chaotic system
    • Schölkopf B., Burges C.J.C., and Smola A.J. (Eds), MIT Press, Cambridge, MA, USA pp. 211-241
    • Mattera D., and Haykin S. Support vector machines for dynamic reconstruction of a chaotic system. In: Schölkopf B., Burges C.J.C., and Smola A.J. (Eds). Advances in Kernel Methods: Support Vector Learning (1999), MIT Press, Cambridge, MA, USA pp. 211-241
    • (1999) Advances in Kernel Methods: Support Vector Learning
    • Mattera, D.1    Haykin, S.2
  • 18
    • 84956628443 scopus 로고    scopus 로고
    • K.R. Müller, A. Smola, G. Rätsch, B. Schölkopf, J. Kohlmorgen, V. Vapnik, Predicting time series with support vector machines, in: Proceedings of the International Conference on Artificial Neural Networks (ICANN), Lausanne, Switzerland, vol. 1327 of Lecture Notes in Computer Science, 1997, pp. 999-1004.
    • K.R. Müller, A. Smola, G. Rätsch, B. Schölkopf, J. Kohlmorgen, V. Vapnik, Predicting time series with support vector machines, in: Proceedings of the International Conference on Artificial Neural Networks (ICANN), Lausanne, Switzerland, vol. 1327 of Lecture Notes in Computer Science, 1997, pp. 999-1004.
  • 19
    • 48749128402 scopus 로고    scopus 로고
    • T. Poggio, T. Vetter, Recognition and structure from one 2D model view: Observations on prototypes, object classes and symmetries, Technical Report AIM-1347, Massachusetts Institute of Technology, Cambridge, MA, USA, 1992.
    • T. Poggio, T. Vetter, Recognition and structure from one 2D model view: Observations on prototypes, object classes and symmetries, Technical Report AIM-1347, Massachusetts Institute of Technology, Cambridge, MA, USA, 1992.
  • 20
    • 84902142380 scopus 로고    scopus 로고
    • B. Schölkopf, C. Burges, V. Vapnik, Incorporating invariances in support vector learning machines, in: Proceedings of the International Conference on Artificial Neural Networks (ICANN), Bochum, Germany, vol. 1112 of Lecture Notes in Computer Science, 1996, pp. 47-52.
    • B. Schölkopf, C. Burges, V. Vapnik, Incorporating invariances in support vector learning machines, in: Proceedings of the International Conference on Artificial Neural Networks (ICANN), Bochum, Germany, vol. 1112 of Lecture Notes in Computer Science, 1996, pp. 47-52.
  • 21
    • 84945900998 scopus 로고    scopus 로고
    • P.Y. Simard, D. Steinkraus, J.C. Platt, Best practices for convolutional neural networks applied to visual document analysis, in: Proceedings of the 7th International Conference on Document Analysis and Recognition, Edinburgh, Scotland, UK, vol. 2, 2003, pp. 958-962.
    • P.Y. Simard, D. Steinkraus, J.C. Platt, Best practices for convolutional neural networks applied to visual document analysis, in: Proceedings of the 7th International Conference on Document Analysis and Recognition, Edinburgh, Scotland, UK, vol. 2, 2003, pp. 958-962.
  • 22
    • 4043137356 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • Smola A.J., and Schölkopf B. A tutorial on support vector regression. Statistics and Computing 14 3 (2004) 199-222
    • (2004) Statistics and Computing , vol.14 , Issue.3 , pp. 199-222
    • Smola, A.J.1    Schölkopf, B.2
  • 23
    • 0033339941 scopus 로고    scopus 로고
    • A.J. Smola, B. Schölkopf, G. Rätsch. Linear programs for automatic accuracy control in regression, in: Proceedings of the 9th International Conference on Artificial Neural Networks (ICANN), Edinburgh, UK, vol. 2, 1999, pp. 575-580.
    • A.J. Smola, B. Schölkopf, G. Rätsch. Linear programs for automatic accuracy control in regression, in: Proceedings of the 9th International Conference on Artificial Neural Networks (ICANN), Edinburgh, UK, vol. 2, 1999, pp. 575-580.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.