Application of genetic algorithm-support vector regression (GA-SVR) for quantitative analysis of herbal medicines

Journal of Chemometrics

Volumn 26, Issue 7, 2012, Pages 353-360

  Xin, Ni ^a   Gu, Xiaofeng ^a   Wu, Hao ^a   Hu, Yuzhu ^a   Yang, Zhonglin ^a  

^a CHINA PHARMACEUTICAL UNIVERSITY   (China)

Author keywords

Fingerprints; Genetic algorithm (GA); Herbal medicines (HM); Random Forests (RF); Support vector regression (SVR)

Indexed keywords

ERRORS; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; MEDICINE; PLANT EXTRACTS; QUALITY CONTROL; REGRESSION ANALYSIS;

FINGERPRINT; GENETIC ALGORITHM; HERBAL MEDICINE; HERBAL MEDICINES; PARTIAL LEAST SQUARE REGRESSION; RANDOM FOREST; RANDOM FORESTS; ROOT MEAN SQUARE ERRORS; SUPPORT VECTOR REGRESSION; SUPPORT VECTOR REGRESSIONS;

GENETIC ALGORITHMS;

EID: 84863775254     PISSN: 08869383     EISSN: 1099128X     Source Type: Journal    
DOI: 10.1002/cem.2435     Document Type: Article

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