| 光谱学与光谱分析 |
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| Analysis of the Stability and Adaptability of Near Infrared Spectra Qualitative Analysis Model |
| CAO Wu1, 2, LI Wei-jun1*, WANG Ping2, ZHANG Li-ping1 |
1. Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
2. College of Information and Control Engineering, China University of Petroleum (Huadong), Qingdao 266580, China |
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Abstract The stability and adaptability of model of near infrared spectra qualitative analysis were studied. Method of separate modeling can significantly improve the stability and adaptability of model, but its ability of improving adaptability of model is limited. Method of joint modeling can not only improve the adaptability of the model, but also the stability of model, at the same time, compared to separate modeling, the method can shorten the modeling time, reduce the modeling workload; extend the term of validity of model, and improve the modeling efficiency. The experiment of model adaptability shows that, the correct recognition rate of separate modeling method is relatively low, which can not meet the requirements of application, and joint modeling method can reach the correct recognition rate of 90%, and significantly enhances the recognition effect. The experiment of model stability shows that, the identification results of model by joint modeling are better than the model by separate modeling, and has good application value.
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Received: 2013-08-14
Accepted: 2013-12-11
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Corresponding Authors:
LI Wei-jun
E-mail: wjli@semi.ac.cn
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