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Recognition of three classes of skullcaps by FTIR spectroscopy combined with artificial neural networks
Xu, YQ; Sun, SQ; Zhou, Q; Cai, SQ
关键词Ftir Pattern Recognition Ann Scutellaria Baicalensis Scutellaria Bge
刊名SPECTROSCOPY AND SPECTRAL ANALYSIS
2002-12-01
22期:6页:945-948
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Spectroscopy
研究领域[WOS]Spectroscopy
关键词[WOS]DRUGS
英文摘要

In order to recognition of three classes of skullcaps (cultivated, wild Scutellaria baicalensis Georgi and Scutellaria viscidula. Bge) three kinds of models of artificial neural networks (ANN), nonlinear-linear, linear-linear and nonlinear-nonlinear model, were used combined with their infrared spectra. Skullcaps samples were collected by Fourier Transform Infrared (FTIR) spectra. 42 samples were gathered as a train set, and 34 samples as a test set, then their supervision trains were performed using three models each. When the summation of error square of train target was selected as 0. 01, the correct. rate for recognition of three classes of skullcaps using each ANN was 100% for the train set, but was different for the test set, which depended on the number of node in hidden layer, S1. It was found that with the increase of S1, the correct rate would decrease oppositely. This may be caused by the high degree of the non-linearity of the networks, so that the models of networks were not fit for the train of this kind of sample set. When using linear-linear model of ANN varied with S1 in some extent, the correct rate was generally about 85%. Recognizability obtained using nonlinear-linear model of ANN was the best. Its correct rate of recognition was > 97% when S1 = 3, and so this method can be used to recognize three of skullcaps simply, rapidly, and accurately.

语种中文
WOS记录号WOS:000180384600020
引用统计
被引频次:9[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/56650
专题北京大学药学院_天然药物学系
作者单位1.Huanggang Normal Univ, Dept Chem, Huanggang 438000, Peoples R China
2.Peking Univ, Dept Nat Med, Beijing 100083, Peoples R China
3.Tsing Hua Univ, Dept Chem, Beijing 100084, Peoples R China
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GB/T 7714
Xu, YQ,Sun, SQ,Zhou, Q,et al. Recognition of three classes of skullcaps by FTIR spectroscopy combined with artificial neural networks[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2002,22(6):945-948.
APA Xu, YQ,Sun, SQ,Zhou, Q,&Cai, SQ.(2002).Recognition of three classes of skullcaps by FTIR spectroscopy combined with artificial neural networks.SPECTROSCOPY AND SPECTRAL ANALYSIS,22(6),945-948.
MLA Xu, YQ,et al."Recognition of three classes of skullcaps by FTIR spectroscopy combined with artificial neural networks".SPECTROSCOPY AND SPECTRAL ANALYSIS 22.6(2002):945-948.
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