Quantitative prediction of active constituents in rhubarb by near infrared spectroscopy and radial basis function neural networks

Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis

Volumn 27, Issue 3, 2007, Pages 481-485

  Yu, Xiao Hui ^a   Zhang, Zhuo Yong ^a   Ma, Qun ^b   Fan, Guo Qiang ^b  

^a CAPITAL NORMAL UNIVERSITY   (China)

^b Beijing Tongrentang Group Co Ltd   (China)

Author keywords

Chinese herbal medicine; Near infrared spectrum; Quantitative prediction; Radial basis function neural networks; Rhubarb

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALIBRATION; CHEMISTRY; METHODOLOGY; NEAR INFRARED SPECTROSCOPY; RHUBARB;

CALIBRATION; NEURAL NETWORKS (COMPUTER); RHEUM; SPECTROSCOPY, NEAR-INFRARED;

EID: 34247267116     PISSN: 10000593     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (20)