Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1181137 | Chemometrics and Intelligent Laboratory Systems | 2009 | 5 Pages |
Abstract
In this paper, a novel chemometric method was developed for rapid, accurate, and quantitative analysis of cefalexin. The experiment was carried out by using the near-infrared spectrometry coupled to multivariate calibration (partial least squares and artificial neural nets). The wavelength selection through a modified genetic algorithm with fixed number of select variables would enhance the predictive ability when applying artificial neural networks model.
Keywords
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Qiang Fei, Ming Li, Bin Wang, Yanfu Huan, Guodong Feng, Yulin Ren,