The performance of ν-support vector regression on determination of soluble solids content of apple by acousto-optic tunable filter near-infrared spectroscopy

Analytica Chimica Acta

Volumn 598, Issue 2, 2007, Pages 227-234

  Zhu, Dazhou ^a   Ji, Baoping ^a   Meng, Chaoying ^a   Shi, Bolin ^a   Tu, Zhenhua ^a   Qing, Zhaoshen ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

Support vector regression; Apple; Near infrared spectroscopy; Soluble solids content; Support vector machine

Indexed keywords

ACOUSTOOPTICAL DEVICES; NEAR INFRARED SPECTROSCOPY; OPTICAL FILTERS; SUPPORT VECTOR MACHINES;

CALIBRATION MODELS; PARTIAL LEAST SQUARE REGRESSION (PLSR); SOLUBLE SOLIDS CONTENT; SVR PARAMETERS;

REGRESSION ANALYSIS;

ANALYTIC METHOD; APPLE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CALIBRATION; GENETIC ALGORITHM; MULTIPLE LINEAR REGRESSION ANALYSIS; NEAR INFRARED SPECTROSCOPY; NOISE POLLUTION; PARTIAL LEAST SQUARES REGRESSION; PRIORITY JOURNAL; STATISTICAL MODEL; SUPPORT VECTOR MACHINE;

MALUS X DOMESTICA;

EID: 34548045281     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aca.2007.07.047     Document Type: Article

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