Abstract：Wavelength selection in PLS calibration can be used to reach two goals: improve the predictive ability and simplify the model. Iteratively reinitialized GA is a modified genetic algorithm, and it gives an initializing procedure of selecting the first candidates for every run of GA, which uses the results of previous runs as the guiding information. This algorithm can select wavelength regions instead of scattering points, which is very helpful in understanding the relevant parts of spectra. Furthermore, the continuous wavelength points make the PLS model more robust. Appling IRGA based wavelength selection to the UV-Vis spectrum of cough syrup, the result illustrates that PLS regression can greatly benefit from variable selection when used for multicomponent spectrophotometric determination.
Key words：Genetic Algorithm;Wavelength selection;Partial least square;Multicomponent
成飙，吴晓华，陈德钊. 基于迭代初始化遗传算法的光谱波段选择及其在感冒液多组分测定中的应用[J]. 光谱学与光谱分析, 2006, 26(10): 1923-1927.
CHENG Biao, WU Xiao-hua, CHEN De-zhao. Wavelength Interval Selection by Iteratively Reinitialized GA and Its Application to Spectrophotometric Determination of Components in Cough Syrup. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(10): 1923-1927.
