福州大学学报（自然科学版）2018，Vol.46Issue(3)：335-340,6.DOI:10.7631/issn.1000-2243.17252
基于人工蜂群波长优选和残差增广的近红外光谱定量模型研究
Near-infrared spectral quantitative modelling using artificial bee colony algorithm based wavelength optimization and residual augmentation
摘要
Abstract
We propose a near-infrared spectral quantitative modelling method by using artificial bee colony ( ABC) algorithm based wavelength optimization and residual augmentation. Firstly, near infra-red spectral data of the apple juice content in blending apple juice is collected. On this basis, the spectrum signal is pretreated. Then, the ABC algorithm was used to optimize the wavelength combina-tions. Secondly, the concentration residual augmented classical least squares ( CRACLS ) model is established using the optimum combined wavelength variables for predicting the apple juice content in blending apple juice. Finally, the performances of the proposed CRACLS model with ABC wavelength optimization are compared with that of other models, including the CRACLS model with GA wavelength optimization, the CRACLS model with full spectrum, the partial least squares ( PLS) model with ABC wavelength optimization, the PLS model with GA wavelength optimization, and the PLS model with full spectrum. Experimental results show that the Rc value of the calibration set of the ABC-CRACLS model is 0.9998;the RMSEC value is 0.0009;the Rp value of the prediction set is 0.9991;and the RMSEP value is 0.0121. Thus, the proposed modelling method is better than other modelling methods. Moreover, ABC can effectively deal with the optimization of the wavelength variables, and the CRA-CLS model has good prediction results.关键词
近红外/特征波长/人工蜂群算法/浓度残差增广的最小二乘Key words
near-infrared spectroscopy/wavelength variable selection/artificial bee colony algorithm/concentration residual augmented classical least squares分类
信息技术与安全科学引用本文复制引用
林双杰,柴琴琴,王武,李玉榕..基于人工蜂群波长优选和残差增广的近红外光谱定量模型研究[J].福州大学学报（自然科学版）,2018,46(3):335-340,6.基金项目
福建省科技厅国际合作项目(2015I0003) （2015I0003）
福建省科技厅引导性项目(2016Y1002) （2016Y1002）
