Application of a hybrid variable selection method for the classification of rapeseed oils based on 1H NMR spectral analysis

European Food Research and Technology

Volumn 230, Issue 6, 2010, Pages 981-988

  Chen, Xiaojing ^a   Li, Han ^a   Wu, Di ^b   Lei, Xinxiang ^a   Zhu, Xiangou ^a   Zhang, Anjiang ^c  

^a WENZHOU UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY   (China)

^c CHENGDU INSTITUTE OF BIOLOGY   (China)

Author keywords

1H nuclear magnetic resonance (NMR); Simulated algorithm (SA); Successive projections algorithm (SPA); Uninformative variable elimination (UVE); Variable selection

Indexed keywords

ACYL CHAIN; DISCRIMINATION MODEL; EFFECTIVE VARIABLES; FULL SPECTRUM; H NMR SPECTRA; KAPPA COEFFICIENT; LEAST SQUARES; OPTIMAL RESULTS; RANDOM NOISE; RAPESEED OIL; SIMULATED ALGORITHMS; SIMULATED ANNEALING ALGORITHMS; SPECTRAL ANALYSIS; SUCCESSIVE PROJECTIONS ALGORITHM; SVM MODEL; THRESHOLD SELECTION; UNINFORMATIVE VARIABLE ELIMINATIONS; VARIABLE SELECTION; VARIABLE SELECTION METHODS;

ALGORITHMS; CHAINS; NUCLEAR MAGNETIC RESONANCE; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; RESONANCE; SPECTRUM ANALYSIS; SPECTRUM ANALYZERS; SUPPORT VECTOR MACHINES; VEGETABLE OILS;

SIMULATED ANNEALING;

BRASSICA NAPUS;

EID: 77950532139     PISSN: 14382377     EISSN: 14382385     Source Type: Journal    
DOI: 10.1007/s00217-010-1241-7     Document Type: Article

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