近红外化学模式识别方法及应用研究

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摘要：近红外模式识别技术是现代近红外光谱分析技术的一个重要方面。文章较系统地介绍了近红外模式识别中常用的化学模式识别方法和这一领域内的最新进展，涉及到聚类分析、判别分析、特征投影显示3个方面多种方法的基本原理，以及近年来出现的支持向量机(SVM)、气泡凝聚算法(BA)、焦点本征函数(FEF)等新方法的基本思想。综述了近几年近红外模式识别技术在农业、医药、食品分析、石油等领域的具体应用。

关键词：近红外光谱;化学模式识别;聚类分析;判别分析;化学计量学

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.

Key words：Near infrared spectra;Chemical pattern recognition;Cluster analysis;Discriminant analysis;Chemometrics

收稿日期: 2006-04-04 修订日期: 2006-06-28

中图分类号:

O657.3

通讯作者: 刘霞 E-mail: xcliyangtian@163.com

引用本文:

李彦周,闵顺耕,刘霞^*. 近红外化学模式识别方法及应用研究[J]. 光谱学与光谱分析, 2007, 27(07): 1299-1303.
LI Yan-zhou,MIN Shun-geng,LIU Xia^*. Study on the Methods and Applications of Near-Infrared Spectroscopy Chemical Pattern Recognition. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(07): 1299-1303.

链接本文:

https://www.gpxygpfx.com/CN/Y2007/V27/I07/1299

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