SCOPUS 정보 검색 플랫폼

Volumn 4, Issue 9, 2012, Pages 2772-2777

Quantitative analysis of adulteration of extra virgin olive oil using Raman spectroscopy improved by Bayesian framework least squares support vector machines

(4) Dong, Wei a Zhang, Yingqiang a Zhang, Bing a Wang, Xiaoping a

a ZHEJIANG UNIVERSITY (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); MEAN SQUARE ERROR; RAMAN SCATTERING; RAMAN SPECTROSCOPY; VEGETABLE OILS;

BAYESIAN FRAMEWORKS; CHEMOMETRIC TOOLS; CLASSIFICATION PROCESS; COEFFICIENT OF DETERMINATION; EXTRA VIRGIN OLIVE OIL; LEAST SQUARES SUPPORT VECTOR MACHINES; NON DESTRUCTIVE; OLIVE OIL; ON-LINE DETECTION; OPTIMAL PARAMETER; PARTIAL LEAST SQUARES REGRESSION; PREDICTION MODEL; RAMAN SPECTRAL DATA; ROOT-MEAN-SQUARE ERROR OF PREDICTIONS;

SUPPORT VECTOR MACHINES;

EID: 84865474759 PISSN: 17599660 EISSN: 17599679 Source Type: Journal
DOI: 10.1039/c2ay25431j Document Type: Article

Times cited : (59)

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