Variable Selection for Partial Least Squares Modelingby Genetic Algorithms
- VernacularTitle:遗传算法用于偏最小二乘方法建模中的变量筛选
- Author:
Xiaoli CHU
;
Hongfu YUAN
;
Yanbin WANG
;
Wanzhen LU
- Publication Type:Journal Article
- From:
Chinese Journal of Analytical Chemistry
2001;29(4):437-442
- CountryChina
- Language:Chinese
-
Abstract:
Genetic algorithms (GA), a global searching method, is applied to select wavelength variables of near infrared spectroscpy (NIR) for multivariate calibration made by partial least squares (PLS) method. Two application examples of NIR analysis show that this wavelength selection method for PLS modeling not only simplifies and optimizes calibration model but also increases the prediction ability of calibration model. The method is especially adequate for the system where only PLS is difficult to correlate.
