A comparative study of multilayer perceptron neural networks for the identification of rhubarb samples

Phytochemical Analysis

Volumn 18, Issue 2, 2007, Pages 109-114

  Zhang, Zhuoyong ^a   Wang, Yamin ^a   Fan, Guoqiang ^b   Harrington, Peter De B ^c  

^a CAPITAL NORMAL UNIVERSITY   (China)

^b Beijing Tongrentang Group Co Ltd   (China)

^c OHIO UNIVERSITY   (United States)

Author keywords

Multilayer perceptron neural network; Near infrared spectroscopy; Quality control; Rhubarb

Indexed keywords

INFRARED DEVICES; MEDICINE; MULTILAYER NEURAL NETWORKS; MULTILAYERS; NEAR INFRARED SPECTROSCOPY; NETWORK LAYERS; PLANTS (BOTANY);

COMPARATIVES STUDIES; MULTILAYER PERCEPTRON NEURAL NETWORK; MULTILAYERS PERCEPTRONS; NEURAL-NETWORKS; NON DESTRUCTIVE; PERCEPTRON NEURAL NETWORKS; QUALITATIVE AND QUANTITATIVE ANALYSIS; RHUBARB; SIMPLE++; TRADITIONAL CHINESE MEDICINE;

QUALITY CONTROL;

RHUBARB EXTRACT;

ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CHINESE MEDICINE; CONTROLLED STUDY; DRUG IDENTIFICATION; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; NEAR INFRARED SPECTROSCOPY; PERCEPTRON; QUALITATIVE ANALYSIS; QUALITY CONTROL; QUANTITATIVE ANALYSIS; RHUBARB; TRADITIONAL MEDICINE;

RHEUM X HYBRIDUM;

EID: 33947661455     PISSN: 09580344     EISSN: 10991565     Source Type: Journal    
DOI: 10.1002/pca.957     Document Type: Article

References (18)

1. Chinese Pharmacopoeia. 2000. Chemical Industry Press: Beijing.
2. Cho CH, Woo YA, Kim HJ, Chung YJ. Chang SY, Chung H. 2001. Rapid qualitative and quantitative evaluation of deer antler (Cervus elaphus) using near-infrared reflectance spectroscopy. Microchem J 68: 189-195.
3. Fahlman SE. 1988. An empirical study of learning speed in back-propagation networks. Computer Science Technical Report, CMU-CS-88-162. Carnegie Mellon University: Pittsburgh.
4. Flora Reipublicae Popularis Sinicae. 1998. Vol. 25. Science Press: Beijing.
5. Hahn F, Lopez I, Hernandez G. 2004. Spectral detection and neural network discrimination of Rhizopus Stolonifer spores on red tomatoes. Biosystems Engng 89: 93-99.
6. Huie CW, Di X. 2004. Chromatographic and electrophoretic methods for Lingzhi pharmacologically active components. J Chromatogr B 812: 241-257.
7. Jacobs RA. 1988. Increased rate of convergence through learning rate adaptation. Neural Networks 1: 295-307.
8. Lau AJ, Holmes MJ, Woo SO, Kon HL. 2004. Analysis of adulterants in a traditional herbal medicinal product using liquid chromatography-mass spectrometry-mass spectrometry. J Pharm Biomed Anal 31: 401-406.
9. Li W, Gong SX, Wen DW, Che BQ, Liao YP, Liu HW, Feng XF, Hu SL. 2004. Rapid determination of aristolochic acid I and II in Artstolochia plants from different regions by β-cyclodextrin-modified capillary zone electrophoresis. J Chromatogr A 1049: 211-217.
10. Lin G, Li P, Li SL, Chan SW. 2001. Chromatographic analysis of Fritillaria isosteroidal alkaloids, the active ingredients of Beimu, the antitussive traditional Chinese medicinal herb. J Chromatogr A 935: 321-338.
11. Marlin MJ, Pablos F, Gonzalez AG. 1996. Application of pattern recognition to the discrimination of roasted coffees. Anal Chim Acta 320: 191-197.
12. Parker, DB. 1985. Learning logic. Technical Report TR-47. Massachusettes Institute of Technology: Cambridge, MA.
13. Patterson E. 1996. Artificial Neural Networks. Prentice Hall: Singapore.
14. Rumelhart DE, McCleland JL. 1986. Parallel Distributed Processing. MIT Press: Cambridge, MA.
15. Tang YF, Zhang ZY, Fan GQ. 2004. Identification of official rhubarb samples based on NIR spectra and neural networks. Spectrosc Spectral Anal 24: 1348-1351.
16. Woo YA, Kim HJ, Chung H. 1999. Classification of cultivation area of Ginseng Radix with NIR and Raman spectroscopy. Analyst 124: 1223-1226.
17. Xiang L, Fan GQ, Li JH, Kang H, Yan YL, Zheng JH, Guo DA. 2002. The application of an artificial neural network in the identification of medicinal rhubarbs by near-infrared spectroscopy. Phytochem Anal 13: 272-276.
18. Yang NL, Cheng YY, Wu YJ. 2003. A new method for fast and non-destructive analysis of saponins in Panax notoginseng herb by near-infrared spectroscopy. Acta Chim Sin 61: 393-398.