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Volumn 48, Issue 5, 2008, Pages 1321-1325

Identification of green tea's (Camellia sinensis (L.)) quality level according to measurement of main catechins and caffeine contents by HPLC and support vector classification pattern recognition

Author keywords

Green tea; High performance liquid chromatography (HPLC); Identification; Quality level; Support vector classification (SVC)

Indexed keywords

CAFFEINE; CATECHIN; EPICATECHIN; EPICATECHIN GALLATE; EPIGALLOCATECHIN; EPIGALLOCATECHIN GALLATE;

EID: 58149510329     PISSN: 07317085     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jpba.2008.09.016     Document Type: Article
Times cited : (73)

References (22)
  • 22
    • 58149484432 scopus 로고    scopus 로고
    • S.R. Gunn, Support Vector Machines for Classification and Regression, Technical Report: Image Speech and Intelligent Systems Research Group (Paper available on http://www.isis.ecs.soton.ac.uk/resources/svminfo/) (1998).
    • S.R. Gunn, Support Vector Machines for Classification and Regression, Technical Report: Image Speech and Intelligent Systems Research Group (Paper available on http://www.isis.ecs.soton.ac.uk/resources/svminfo/) (1998).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.