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Volumn , Issue , 2010, Pages 1465-1470

Application of linear programming SVM-ARMA2K for dynamic engine modeling

Author keywords

[No Author keywords available]

Indexed keywords

AUTO-REGRESSION; COMPUTATIONAL EFFORT; CONTROL STRATEGIES; ENGINE MODELING; ENGINE MODELS; HIGH DEMAND; KERNEL FUNCTION; MOVING AVERAGES; NEW STRUCTURES; PERFORMANCE ANALYSIS; PERFORMANCE SPECIFICATIONS; SIMULATION STUDIES; SYSTEMS INTEGRATION; VEHICLE TECHNOLOGY;

EID: 77957810968     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (16)
  • 1
    • 34250167583 scopus 로고    scopus 로고
    • Modeling and control of internal combustion engines using intelligent techniques
    • S.H. Lee, R.J. Howlett, S.D. Walters, C. Crua, "Modeling and control of internal combustion engines using intelligent techniques," Cybernetics and Systems, vol. 38, pp. 509-533, 2007.
    • (2007) Cybernetics and Systems , vol.38 , pp. 509-533
    • Lee, S.H.1    Howlett, R.J.2    Walters, S.D.3    Crua, C.4
  • 3
    • 70449627257 scopus 로고    scopus 로고
    • Dynamic engine modeling through linear programming support vector regression
    • June 10-12, St. Louis, Missouri
    • Z. Lu, J. Sun, and K. Butts. "Dynamic engine modeling through linear programming support vector regression", in Proc. American Control Conference, June 10-12, St. Louis, Missouri, 2009.
    • (2009) Proc. American Control Conference
    • Lu, Z.1    Sun, J.2    Butts, K.3
  • 4
    • 4043137356 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • A.J. Smola, B. Schölkopf, "A tutorial on support vector regression," Statistics and Computing, vol. 14, pp. 199-222, 2004.
    • (2004) Statistics and Computing , vol.14 , pp. 199-222
    • Smola, A.J.1    Schölkopf, B.2
  • 9
    • 53749102436 scopus 로고    scopus 로고
    • Non-Mercer hybrid kernel for linear programming support vector regression in nonlinear systems identification
    • Z. Lu, and J. Sun. "Non-Mercer hybrid kernel for linear programming support vector regression in nonlinear systems identification", Applied Soft Computing, 9(1) (2009) 94-99.
    • (2009) Applied Soft Computing , vol.9 , Issue.1 , pp. 94-99
    • Lu, Z.1    Sun, J.2
  • 10
    • 61449246384 scopus 로고    scopus 로고
    • Linear programming support vector regression with wavelet kernel: A new approach to nonlinear dynamical systems identification
    • Z. Lu, J. Sun, and K. Butts. "Linear programming support vector regression with wavelet kernel: A new approach to nonlinear dynamical systems identification", Mathematics and Computers in Simulation, 79(7) (2009) 2051-2063.
    • (2009) Mathematics and Computers in Simulation , vol.79 , Issue.7 , pp. 2051-2063
    • Lu, Z.1    Sun, J.2    Butts., K.3
  • 12
    • 48749127818 scopus 로고    scopus 로고
    • Support vector regression from simulation data and few experimental samples
    • G. Bloch, F. Lauer, C. Guillaume and C. Yann. "Support vector regression from simulation data and few experimental samples", Information Sciences, 178 (2008) 3813-3827.
    • (2008) Information Sciences , vol.178 , pp. 3813-3827
    • Bloch, G.1    Lauer, F.2    Guillaume, C.3    Yann, C.4
  • 16
    • 77957807082 scopus 로고    scopus 로고
    • Soft-constrained linear programming support vector regression for nonlinear black-box systems identification
    • Eds. D. Vrakas and I. Vlahavas. Information Science Reference Publishing, Feb.
    • Z. Lu, and J. Sun. "Soft-constrained Linear Programming Support Vector Regression for Nonlinear Black-box Systems Identification", In Artificial Intelligence for Advanced Problem Solving Techniques, Eds. D. Vrakas and I. Vlahavas. Information Science Reference Publishing, Feb. 2008.
    • (2008) Artificial Intelligence for Advanced Problem Solving Techniques
    • Lu, Z.1    Sun, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.