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Volumn 89, Issue , 2012, Pages 18-24

Discrimination of raw and processed Dipsacus asperoides by near infrared spectroscopy combined with least squares-support vector machine and random forests

Author keywords

Classification; Least squares support vector machine; Near infrared spectroscopy; Random forests; Raw and processed herbal medicines; Successive projections algorithm linear discriminant analysis

Indexed keywords

CLASSIFICATION RESULTS; CROSS VALIDATION; DATA SETS; FULL-SPECTRUM; HERBAL MEDICINES; LEAST SQUARES SUPPORT VECTOR MACHINES; LINEAR DISCRIMINANT ANALYSIS; LINEAR KERNEL; MEAN ERROR RATE; NEAR INFRARED; NEAR INFRARED SPECTRA; POLYNOMIAL KERNELS; RADIAL BASIS FUNCTIONS; RANDOM FORESTS; RBF KERNELS; SUCCESSIVE PROJECTIONS ALGORITHM; TEST SAMPLES; TRADITIONAL CHINESE MEDICINE;

EID: 84863177593     PISSN: 13861425     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.saa.2011.12.006     Document Type: Article
Times cited : (22)

References (38)
  • 5
    • 84856822928 scopus 로고    scopus 로고
    • Chinese Pharmacopoeia Commission Chemical Industry Press Peking p. 640
    • Chinese Pharmacopoeia Commission Chinese Pharmacopoeia, vol. I 2010 Chemical Industry Press Peking p. 640
    • (2010) Chinese Pharmacopoeia, Vol. I
  • 31
    • 1542559402 scopus 로고    scopus 로고
    • Support vector machine applications in computational biology
    • MIT Press Cambridge
    • W.S. Noble Support vector machine applications in computational biology Kernel Methods in Computational Biology 2004 MIT Press Cambridge
    • (2004) Kernel Methods in Computational Biology
    • Noble, W.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.