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基于独立成分的局部建模方法及其在近红外光谱分析中的应用研究
引用本文:侯振雨,王伟,蔡文生,邵学广.基于独立成分的局部建模方法及其在近红外光谱分析中的应用研究[J].计算机与应用化学,2006,23(3):224-226.
作者姓名:侯振雨  王伟  蔡文生  邵学广
作者单位:1. 中国科学技术大学化学系,安徽,合肥,230026;河南科技学院化工系,河南,新乡,453003
2. 中国科学技术大学化学系,安徽,合肥,230026
3. 中国科学技术大学化学系,安徽,合肥,230026;南开大学化学系,天津,300071
4. 南开大学化学系,天津,300071
基金项目:国家自然科学基金;教育部优秀青年教师资助计划
摘    要:建立了一种基于独立成分分析的局部建模新方法,该方法首先将独立成分分析(ICA)用于近红外光谱的特征提取,然后,根据所提取的独立成分选择校正集中与预测样本相邻近的样本构成校正子集,建立局部偏最小二乘(PLS)回归模型并对预测样本进行预测。将所提出的方法应用于烟草样品中尼古丁含量的测定,所得结果优于常用的全局建模方法。

关 键 词:独立成分分析  局部建模方法  近红外光谱
文章编号:1001-4160(2006)03-224-226
收稿时间:2005-07-28
修稿时间:2005-07-282005-11-28

A local regression method based on independent component analysis and its application in near infrared spectral analysis
HOU ZhenYu,WANG Wei,CAI WenSheng,SHAO XueGuang.A local regression method based on independent component analysis and its application in near infrared spectral analysis[J].Computers and Applied Chemistry,2006,23(3):224-226.
Authors:HOU ZhenYu  WANG Wei  CAI WenSheng  SHAO XueGuang
Affiliation:1. Department of Chemistry, University of Science and Technology of China, Hefei, 230026, Anhui, China; 2. Department of Chemical Engineering, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China; 3. Department of Chemistry,Nankai University, Tianjin, 300071, China
Abstract:A local regression method was proposed based on independent component analysis (ICA) . The method performs feature extraction from the measured near infrared(NIR) spectra by using ICA at first, and then carries out a subset selection for local regression according to the distance between a prediction sample and the calibration samples in the independent component (IC) space. Finally, by using the selected subset, a PLS model is built and used to predict the property of the prediction sample. An application of the proposed method in prediction of nicotine content in tobacco samples from NIR spectra was investigated, it was found that the results are better than both the local regression method based on principal component analysis (PCA) and the conventionally used global regression method.
Keywords:independent component analysis (ICA)  local regression method  near infrared (NIR) spectral analysis  
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