| 光谱学与光谱分析 |
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| A New Linear Neural Network Multi-Component Analysis Method and Its Application in the Analysis of VC Yinqiao Tablets Quantitative Analysis |
| BAI Ying-kui1, SHEN Xuan-guo2, FENG Yi2, ZHANG Tie-qiang2, HUANG Fang2 |
1. Jilin University, College of Communication Engineering, Changchun 130025, China
2. Jilin University, College of Physics, Changchun 130025, China |
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Abstract We measured NIR spectrum of VC Yinqiao tablets with spectral instrument, analyzed the contents of acetaminophen and vitamin C in the VC Yinqiao tablets with principal component analysis(PCA) and Linear Neural Network, and discussed the choice of principal component number and ANN’s parameters affecting the network . To compare arithmetic performance, the authors also processed the spectral data with partial least squares and PCA-BP neural network. Compared with other two data process methods, the experiment and the result of data process showed that the PCA-linear neural network possess the best forecasting precision.
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Received: 2003-11-28
Accepted: 2004-04-15
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Corresponding Authors:
BAI Ying-kui
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| Cite this article: |
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BAI Ying-kui,SHEN Xuan-guo,FENG Yi, et al. A New Linear Neural Network Multi-Component Analysis Method and Its Application in the Analysis of VC Yinqiao Tablets Quantitative Analysis [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2005, 25(06): 898-901.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2005/V25/I06/898 |
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