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Volumn 8, Issue 9, 2012, Pages 3807-3814

A weighted multi-output support vector regression and its application

Author keywords

Multi output support vector regression; Near infrared spectroscopy analysis; Prediction

Indexed keywords

MULTI VARIABLES; MULTI-OUTPUT; NIR SPECTROSCOPY; NON DESTRUCTIVE; NON-DESTRUCTIVE TECHNIQUE; QUALITY PARAMETERS; QUANTITATIVE PREDICTION; REGRESSION ALGORITHMS; SUPPORT VECTOR REGRESSION (SVR);

EID: 84862688046     PISSN: 15539105     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (8)

References (9)
  • 4
    • 83055174676 scopus 로고    scopus 로고
    • An improved recurrent support vector regression algorithm for water quality prediction
    • Du J., Tao T., An improved recurrent support vector regression algorithm for water quality prediction, Journal of Computational Information Systems, 7(12): 4455-4462, 2011.
    • (2011) Journal of Computational Information Systems , vol.7 , Issue.12 , pp. 4455-4462
    • Du, J.1    Tao, T.2
  • 5
    • 78651432262 scopus 로고    scopus 로고
    • Polynomial smooth epsilon-support vector regression based on hermite inter-polation
    • Ren B., Cheng L., Polynomial smooth epsilon-support vector regression based on hermite inter-polation, Journal of Computational Information Systems, 6(13): 4523-4532, 2010.
    • (2010) Journal of Computational Information Systems , vol.6 , Issue.13 , pp. 4523-4532
    • Ren, B.1    Cheng, L.2
  • 6
    • 61349156692 scopus 로고    scopus 로고
    • Support vector machines (SVM) in near infrared (NIR) spectroscopy: Focus on parameters optimization and model interpretation
    • Devos Olivier, Ruckebusch Cyril, Support vector machines (SVM) in near infrared (NIR) spectroscopy: Focus on parameters optimization and model interpretationChemometrics and intelligent laboratory systems, 96(1): 27-33, 2009.
    • (2009) Chemometrics and Intelligent Laboratory Systems , vol.96 , Issue.1 , pp. 27-33
    • Olivier, D.1    Cyril, R.2
  • 7
    • 33947320459 scopus 로고    scopus 로고
    • A consensus least squares support vector regression (LS-SVR) for analysis of near-infrared spectra of plant samples
    • Li, Y., Shao, X., Cai, W., A consensus least squares support vector regression (LS-SVR) for analysis of near-infrared spectra of plant samples. Talanta, 72(1): 217-222, 2007.
    • (2007) Talanta , vol.72 , Issue.1 , pp. 217-222
    • Li, Y.1    Shao, X.2    Cai, W.3
  • 8
    • 33748909356 scopus 로고    scopus 로고
    • Geographic classification of Spanish and Australian Tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate analysis
    • Liu, L., Cozzolino, D., Cynkar, W. U., et al, Geographic classification of Spanish and Australian Tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate analysis. Journal of Agricultural and Food Chemistry, 54(18): 6754-6759, 2006.
    • (2006) Journal of Agricultural and Food Chemistry , vol.54 , Issue.18 , pp. 6754-6759
    • Liu, L.1    Cozzolino, D.2    Cynkar, W.U.3
  • 9
    • 84862645993 scopus 로고    scopus 로고
    • Multi-output support vector regression algorithm
    • Zhang Y., Sun D., Multi-output support vector regression algorithm, Journal of Liaoning Normal University, 29(3): 267-270, 2006.
    • (2006) Journal of Liaoning Normal University , vol.29 , Issue.3 , pp. 267-270
    • Zhang, Y.1    Sun, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.