| 光谱学与光谱分析 |
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| Study on the Multicomponent Quantitative Analysis Using Near Infrared Spectroscopy Based on Building Elman Model |
| LIU Bo-ping1,2,QIN Hua-jun3,LUO Xiang2,CAO Shu-wen3,WANG Jun-de1* |
1. College of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 200014，China
2. Analytical and Testing Center of Jiangxi Province, Nanchang 330029, China
3. Key Laboratory of Food Science of MOE, Nanchang University, Nanchang 330047, China |
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Abstract The present paper introduces an application of near infrared spectroscopy(NIRS) multi-component quantitative analysis by building a kind of recurrent network(Elman)model. Elman prediction model for phenylalanine(Phe), lysine(Lys), tyrosine(Tyr) and cystine(Cys) in 45 feedstuff samples was established with good veracity. Twelve peak value data from 3 principal components straight forward compressed from the original data by PLS were taken as inputs of Elman, while 4 predictive targets as outputs. Forty seven nerve cells were taken as hidden nodes with the lowest error compared with taking 43 and 45 nerve cells. Its training iteration times was supposed to be 1 000. Predictive correlation coefficients by the model are 0.960, 0.981, 0.979 and 0.952. The results show that Elman using in NIRS is a rapid, effective means for measuring Phe, Lys, Tyr and Cys in feedstuff powder, and can also be used in quantitative analysis of other samples.
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Received: 2006-08-25
Accepted: 2006-11-28
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Corresponding Authors:
WANG Jun-de
E-mail: jdwang@mail.njust.edu.cn
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| Cite this article: |
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LIU Bo-ping,QIN Hua-jun,LUO Xiang, et al. Study on the Multicomponent Quantitative Analysis Using Near Infrared Spectroscopy Based on Building Elman Model [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(12): 2456-2459.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2007/V27/I12/2456 |
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