| 光谱学与光谱分析 |
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| Study on the Methods and Applications of Near-Infrared Spectroscopy Chemical Pattern Recognition |
| LI Yan-zhou,MIN Shun-geng,LIU Xia* |
| College of Science,China Agricultural University,Beijing 100094,China |
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Abstract Near infrared spectroscopy pattern recognition technique is an important part of modern near infrared spectroscopy technique. In the present paper,main methods of near infrared spectroscopy chemical pattern recognition and some recent developments are introduced. Basic principles of the methods in cluster analysis,discriminant analysis and latent projection are discussed,including some new methods such as support vector machines (SVM),bubble agglomeration algorithm (BA) and focal eigen functions (FEF) etc. Finally,the applications of near infrared spectroscopy pattern recognition technique in agriculture,pharmaceutical industry,food analysis,petroleum industry and other fields are reviewed.
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Received: 2006-04-04
Accepted: 2006-06-28
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Corresponding Authors:
LIU Xia
E-mail: xcliyangtian@163.com
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| Cite this article: |
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LI Yan-zhou,MIN Shun-geng,LIU Xia. Study on the Methods and Applications of Near-Infrared Spectroscopy Chemical Pattern Recognition[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(07): 1299-1303.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2007/V27/I07/1299 |
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