Radial Basis Function Networks and IR Spectrometry Applied for Identification of Official Rhubarb Samples
MA Shu-min1, LIU Si-dong1, ZHANG Zhuo-yong2*, FAN Guo-qiang3
1. Faculty of Chemistry, Northeast Normal University, Changchun 130024, China 2. Department of Chemistry, Capital Normal University, Beijing 100037, China 3. Institute for Chinese Medicine, Beijing Tongrentang Group Co. Ltd., Beijing 100011, China
Abstract：The Fourier transform infrared spectrometry (FTIRS) and radial basis function neural network (RBF-NN) have been applied to develop classification models for identifying official and unofficial rhubarb samples. The original data were compressed from 775 variables to 49 variables by using wavelet transformation method. The compressed spectra with reduced variables maintain the characteristics of the IR spectra and speed up the network training process. The effects of network parameters including error goal and spread constant, were investigated. The rate of correct classification is up to 97.78% at optimized conditions. Results show that the combination of IRS and ANN can be used as fast and convenient tool for identification of Chinese herbal samples.
Key words：Radial basis function network;Infrared spectrometry;Rhubarb;Chinese herbal medicine;Classification
马书民1，刘思东1，张卓勇2*，范国强3 . 径向基函数网络-红外光谱法用于中药大黄样品的真伪分类[J]. 光谱学与光谱分析, 2005, 25(06): 874-877.
MA Shu-min1, LIU Si-dong1, ZHANG Zhuo-yong2*, FAN Guo-qiang3 . Radial Basis Function Networks and IR Spectrometry Applied for Identification of Official Rhubarb Samples. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2005, 25(06): 874-877.
[1] SUN Su-qin, LIU Jun, ZHOU Qun(孙素琴，刘 军，周 群). Chinese Journal of Analytical Chemistry(分析化学)，2002，30(2)：140. [2] GU Jin, LIU Ping(古 今，刘 萍). Pharm. J. Chin. PLA(解放军药学学报)，2002，18(4)：223. [3] WANG Xu-ming, ZHAO Qing-hua, LIANG Ai-jun(王绪明，赵庆华，梁爱君). Pharm. J. Chin. PLA(解放军药学学报)，1999，15(2)：24. [4] ZHANG Hong-xing, DUAN Yong-hong(张红星，段永红). Henan Journal of Traditional Drugs(河南中医药学刊), 2002，17(5)：11. [5] Shaw P C, But P P H. Planta. Med., 1995, 61: 466. [6] SUN Su-qin, TANG Jun-ming, YUAN Zi-min, BAI Yan(孙素琴，汤俊明，袁子民，白 雁). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2003, 23(2): 258. [7] XU Yong-qun, SUN Su-qin, FENG Xue-feng, HU Shi-lin(徐永群，孙素琴，冯学峰，胡世林). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2003, 23(3): 502. [8] ZHOU Qun, SUN Su-qin, LEUNG Hi-win(周 群，孙素琴，梁曦云). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2003, 23(3): 509. [9] HUANG Hao, SUN Su-qin, XU Jin-wen, WANG Zhao(黄 昊，孙素琴，许锦文，王 钊). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2003, 23(2): 253. [10] YE Li-na, LUO Ai-qin, FU Ruo-nong, et al(耶利娜，罗爱芹，傅若农，等). Chinese Journal of Analytical Chemistry(分析化学), 2000, 28(5): 549. [11] ZHANG Zhuo-yong, WANG Dan, Peter de B Harrington, Kent J Voorhees, Jon rees(张卓勇，王 丹, Peter de B Harrungton, Kent J Voorhees, Jon Ress). Computers and Applied Chemistry(计算机与应用化学)，2002，19(1)：45. [12] LIU Si-dong, CUI Xiu-jun, ZHANG Zhuo-yong, GUO Ying-na, YE Han-feng, DING Yun-zheng(刘思东，崔秀君，张卓勇，郭英娜，叶汉峰，丁蕴铮). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2003，23(1)：119. [13] Blanco M, Coello J, Iturriaga H, Maspoch S, Pages J. Chemometrics and Intelligent Laboratory Systems., 2000, 50: 75. [14] TANG Yan-feng, ZHANG Zhuo-yong, FAN Guo-qiang(汤彦丰，张卓勇，范国强). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2004，24(11)：1348.
