کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1180237 | 1491571 | 2006 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Alternating asymmetric trilinear decomposition for three-way data arrays analysis
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Alternating asymmetric trilinear decomposition for three-way data arrays analysis Alternating asymmetric trilinear decomposition for three-way data arrays analysis](/preview/png/1180237.png)
چکیده انگلیسی
An alternating asymmetric trilinear decomposition for three-way data arrays analysis (AATLD) method was introduced. The new proposed algorithm combines the merit of Three-way Alternating Least Squares (Tri-ALS) and Alternating Trilinear Decomposition (ATLD). It retains the second-order advantage of quantification for analyte(s) of interest even in the presence of potentially unknown interferents. As an asymmetric trilinear decomposition, AATLD can perform well when three-way data arrays possess serious collinearity problem. Simulated and real high-performance liquid chromatography data arrays were used to demonstrate these advantages of the algorithm. In contrast with traditional PARAFAC, ATLD and Tri-ALS, the new proposed algorithm performs better when the data are high collinear, e.g., the large condition number of the loading matrices A, B and C. Even with heavily collinear simulated data set, it was also found that the AATLD algorithm is faster than others on obtaining solutions with chemical meaning.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemometrics and Intelligent Laboratory Systems - Volume 82, Issues 1â2, 26 May 2006, Pages 145-153
Journal: Chemometrics and Intelligent Laboratory Systems - Volume 82, Issues 1â2, 26 May 2006, Pages 145-153
نویسندگان
Le-Qian Hu, Hai-Long Wu, Yu-Jie Ding, Dong-Mei Fang, A-lin Xia, Ru-Qin Yu,