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Volumn 20, Issue 5, 2006, Pages 184-192

Optimizing the tuning parameters of least squares support vector machines regression for NIR spectra

Author keywords

LS SVMS; NIR spectra; Nonlinear; PLS; Tuning parameters

Indexed keywords

FERTILIZERS; LEAST SQUARES APPROXIMATIONS; MANURES; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES;

EID: 34248343434     PISSN: 08869383     EISSN: 1099128X     Source Type: Journal    
DOI: 10.1002/cem.989     Document Type: Conference Paper
Times cited : (35)

References (13)
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  • 3
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    • Bjørsvik, H.R.1    Martens, H.2
  • 4
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    • Application of LS-SVM to nonlinear phenomena in NIR spectroscopy: Development of a robust and portable sensor for acidity prediction in grapes
    • Chauchard F, Cogdill R, Roussel S, Roger JM, Bellon-Maurel V. Application of LS-SVM to nonlinear phenomena in NIR spectroscopy: development of a robust and portable sensor for acidity prediction in grapes. Chemometrics Intell. Lab. 2004; 71: 141-150.
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    • Fernandez Pierna, J.A.1    Baeten, V.2    Michotte Renier, A.3    Cogdill, R.P.4    Dardenne, P.5
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    • Cogdill, R.P.1    Dardenne, P.2
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    • Potential for on site analysis of hog manure using a visual and near-infrared diode array reflectance spectrometer
    • Saeys W, Darius P, Ramon H. Potential for on site analysis of hog manure using a visual and near-infrared diode array reflectance spectrometer. J. Near Infrared Spectrosc. 2004; 12: 299-309.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.