An efficient variable selection method based on variable permutation and model population analysis for multivariate calibration of NIR spectra

Chemometrics and Intelligent Laboratory Systems

Volumn 158, Issue , 2016, Pages 1-13

  Bin, Jun ^a   Ai, Fangfang ^b   Fan, Wei ^a   Zhou, Jiheng ^a   Li, Xin ^a   Tang, Wenxian ^c   Liang, Yizeng ^c  

^a HUNAN AGRICULTURAL UNIVERSITY   (China)

^b Shanghai Tobacco Group Co Ltd   (China)

^c CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Exponentially decreasing function; Model population analysis; Multivariate spectral calibration; Partial least squares; Variable permutation population analysis; Variable selection

Indexed keywords

ARTICLE; CALIBRATION; COMPUTER PROGRAM; GENETIC ALGORITHM; MATHEMATICAL COMPUTING; MATHEMATICAL PARAMETERS; MONTE CARLO METHOD; NEAR INFRARED SPECTROSCOPY; PARTIAL LEAST SQUARES REGRESSION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; VARIABLE PERMUTATION POPULATION ANALYSIS;

EID: 84982267547     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2016.08.006     Document Type: Article

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