Genetic algorithm interval partial least squares regression combined successive projections algorithm for variable selection in near-infrared quantitative analysis of pigment in cucumber leaves

Applied Spectroscopy

Volumn 64, Issue 7, 2010, Pages 786-794

  Zou, Xiaobo ^a   Zhao, Jiewen ^a   Mao, Hanpin ^a   Shi, Jiyong ^a   Yin, Xiaopin ^a   Li, Yanxiao ^a  

^a JIANGSU UNIVERSITY   (China)

Author keywords

Genetic algorithm; Interval partial least squares; Multivariate calibration; Near infrared spectroscopy; Nir spectroscopy; PLS; Successive projections algorithm

Indexed keywords

CHLOROPHYLL; GENETIC ALGORITHMS; INFRARED DEVICES; LINEAR REGRESSION; NEAR INFRARED SPECTROSCOPY; PIGMENTS; SPECTRUM ANALYSIS;

CORRELATION COEFFICIENT; FULL SPECTRUM MODELING; INTERVAL PARTIAL LEAST SQUARES; MULTIPLE LINEAR REGRESSION MODELS; MULTIVARIATE CALIBRATION; NIR SPECTROSCOPY; SUCCESSIVE PROJECTIONS ALGORITHM; SUCCESSIVE PROJECTIONS ALGORITHMS (SPA);

LEAST SQUARES APPROXIMATIONS;

CAROTENOID; CHLOROPHYLL;

ALGORITHM; CALIBRATION; CHEMISTRY; CUCUMBER; NEAR INFRARED SPECTROSCOPY; PLANT LEAF; PROCEDURES; REGRESSION ANALYSIS;

ALGORITHMS; CALIBRATION; CAROTENOIDS; CHLOROPHYLL; CUCUMIS SATIVUS; LEAST-SQUARES ANALYSIS; PLANT LEAVES; SPECTROSCOPY, NEAR-INFRARED;

EID: 77954876357     PISSN: 00037028     EISSN: None     Source Type: Journal    
DOI: 10.1366/000370210791666246     Document Type: Article

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