Dual stacked partial least squares for analysis of near-infrared spectra

Analytica Chimica Acta

Volumn 792, Issue , 2013, Pages 19-27

  Bi, Yiming ^a   Xie, Qiong ^a   Peng, Silong ^a   Tang, Liang ^a   Hu, Yong ^a   Tan, Jie ^a   Zhao, Yuhui ^b   Li, Changwen ^c  

^a INSTITUTE OF AUTOMATION   (China)

^b NORTHEASTERN UNIVERSITY AT QINHUANGDAO   (China)

^c Tianjin Tasly Institute   (China)

Author keywords

Ensemble learning; Multivariate calibration; Near infrared spectra; Partial least squares; Selective weighting rule

Indexed keywords

ENSEMBLE LEARNING; MULTIVARIATE CALIBRATION; NEAR INFRARED SPECTRA; PARTIAL LEAST SQUARE (PLS); SELECTIVE WEIGHTING RULE;

ALGORITHMS; INFRARED DEVICES; SPECTROSCOPY;

LEAST SQUARES APPROXIMATIONS;

ARTICLE; BEER; CALIBRATION; DOUGH; DUAL STACKED PARTIAL LEAST SQUARES; FOOD ANALYSIS; LEARNING ALGORITHM; NEAR INFRARED SPECTROSCOPY; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS;

ENSEMBLE LEARNING; MULTIVARIATE CALIBRATION; NEAR-INFRARED SPECTRA; PARTIAL LEAST SQUARES; SELECTIVE WEIGHTING RULE;

LEAST-SQUARES ANALYSIS; MODELS, STATISTICAL; SPECTROSCOPY, NEAR-INFRARED;

EID: 84881025525     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2013.07.008     Document Type: Article

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