메뉴 건너뛰기




Volumn 24, Issue 1, 2008, Pages 139-148

Retention prediction modeling of ginsenosides on a polyvinyl alcohol-bonded stationary phase at subambient temperatures using multiple linear regression and artificial neural network

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; HYDROGEN BONDS; LINEAR REGRESSION; POLYVINYL ALCOHOLS; PREDICTIVE ANALYTICS; THERMAL LOGGING;

EID: 42949122137     PISSN: 09106340     EISSN: 13482246     Source Type: Journal    
DOI: 10.2116/analsci.24.139     Document Type: Article
Times cited : (11)

References (49)
  • 4
    • 49749131032 scopus 로고    scopus 로고
    • ESCOP Monographs, European Scientific Cooperative on Phytotherapy, 2nd ed., 2003, Exeter, 211.
    • ESCOP Monographs, "European Scientific Cooperative on Phytotherapy", 2nd ed., 2003, Exeter, 211.
  • 8
    • 0025216144 scopus 로고    scopus 로고
    • T. G. Petersen T and B. Palmqvst, J. Chromatogr., 1990, 504, 139.
    • T. G. Petersen T and B. Palmqvst, J. Chromatogr., 1990, 504, 139.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.