Research of Uninformative Variable Elimination Method for Spectral Data Analysis of Milk

摘要：

During the MR spectral analysis to quickly determine concentrations of essential components of milk, spectral region is wider, peaks are overlap, and searching space is larger, spectrum acquiring often subjects to interference coming from environmental noise and interference of other components, so it is necessary to make optimum selecting to wavelength variables. In this paper, for concentration of protein in milk samples, Uninformative Variable Elimination (LIVE) method is used to make optimum selecting to wavelength variables, and the selected wavelengths are taken as the input variables to build PLS model. Prediction results of PLS model built after processed by the UVE method is respectively compared with results of the PLS model by Genetic Algorithms (GA) method and results of the PLS model without making wavelength variable selection. The result shows that the UVE-PLS model has great advantage comparing with the GA-PLS model, and using the UVE method to select the wavelength variable of milk spectrum can make variable numbers for the final PLS model become smaller, redundant information become minimize, robustness of model become steady, and testing time of spectrum acquiring become shorter.

关键词： milk NIR spectral analysis wavelength variables selection PLS regression

作者: Wang Lijie Guo Jianying Ding Xibo Zhou Zhen Bai Yamei Qin Yong

作者单位: College of Measurement and Control Technology and Communication Engineering,The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science and Technology Harbin,China

会议类型: 国际会议

会议名称: The 6th International Forum on Strategic Technology(IFOST 2011)(第六届国际战略技术论坛)

会议地点: 哈尔滨

会议语种:英文

页码: 1247-1251

在线出版日期: 2011-08-22（万方平台首次上网日期，不代表论文的发表时间）