کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1248783 | 970463 | 2007 | 11 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: The application to wastewaters of chemometric approaches to handling problems of highly complex matrices The application to wastewaters of chemometric approaches to handling problems of highly complex matrices](/preview/png/1248783.png)
This overview covers current chemometric methodologies using second-order advantage to solve problems of analyzing highly complex matrices. Among the existing algorithms, it focuses on those most frequently used (e.g., the standard for second-order approaches to data analysis, PARAFAC (parallel factor analysis), and MCR-ALS (multivariate curve resolution alternating least squares), as well as the most recently implemented BLLS (bilinear least-squares), and U-PLS/RBL (unfolded partial least squares/residual bilinearization)). All of these are based on linear models. The overview also covers ANN/RBL (artificial neural networks followed by residual bilinearization), which achieves the second-order advantage in systems involving non-linear behavior. In addition, the overview deals with the drawbacks of these approaches, as well as other drawbacks that are inherent in the analytical techniques to question.
Journal: TrAC Trends in Analytical Chemistry - Volume 26, Issue 11, December 2007, Pages 1032–1042