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三线性直接分解法分析高维灰色体系

Analysis of High-dimensional Grey System by the Trilinear Direct Decomposition Algorithm

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【作者】 李通化丛培盛刘登贤刘东祥金炳尧

【Author】 Li Tonghua, Cong Peisheng, Liu Dengxian, Liu Dongxiang (Department of Chemistry, Tongji University, Shanghai 200092)Jin Bingyao (Department of Chemistry, Zhfjiang Normal University, Jinhua 321004)

【机构】 同济大学化学系浙江师范大学化学系 上海200092上海200092金华321004

【摘要】 对于由多个两维测量数据组成的三维阵,本文提出一种新三线性直接分解方法。采用高维PCA分解,从三维阵中直接提取抽象光谱和抽象浓度,再结合QZ算法,唯一地确定混合物中各组分光谱和浓度。该方法可以排除其它未知组分的干扰,适用于高维灰色体系定性定量分析和多点校准。用模拟数据讨论了光谱分离度对该方法的影响,应用于混合维生素B1、B2和B6的荧光分析,求得的光谱和浓度与实验值吻合很好。

【Abstract】 A novel trilinear direct decomposition algorithm is proposed for the decomposi-tion of a three-dimensional matrix consisting of several samples of measured two-dimensional data. The abstract spectral and concentration matrices are obtained by high-dimensional principal component analysis. Then the unique solutions of spectra and concentrations of the components are determined by the QZ algorithm. The new method is robust in noise environment and suitable for qualitative and quantitative analysis of high-dimensional grey system and multi-point calibration. The simulated data were used for exploring the effect of spectral resolution to the precision of prediction. In fluorescence analysis of mixtures of vitamin B1, vitamin B2 and vitamin B6, the results show that the obtained spectra and concentrations are in agreement with the experimental values.

【基金】 国家自然科学基金资助课题
  • 【文献出处】 分析化学 ,Chinese Journal of Analytieal Chemistry , 编辑部邮箱 ,1994年03期
  • 【分类号】O657.3
  • 【被引频次】3
  • 【下载频次】70
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