文献类型：期刊文献

英文题名：Pattern recognition of Chinese flue-cured tobaccos by an improved and simplified K-nearest neighbors classification algorithm on near infrared spectra

作者：Ni, Li-Jun[1];Zhang, Li-Guo[1];Xie, Juan[1];Luo, Jian-Qun[1]

机构：[1]E China Univ Sci & Technol, Sch Chem & Mol Engn, Shanghai 200237, Peoples R China

年份：2009

卷号：633

期号：1

起止页码：43

外文期刊名：ANALYTICA CHIMICA ACTA

收录：;EI(收录号：20085211813411);WOS:【SCI-EXPANDED(收录号:WOS:000262734700005)】；

语种：英文

外文关键词：Near infrared; Pattern recognition of multi-categories; Improved and simplified K-nearest neighbors; Optimization of principal component number; Chemometrics; Tobacco

摘要：In tobacco industry of China, tobacco leaves are classified and managed in terms of their cultivation areas and plant parts of tobacco-stalks. However, sometimes intentionally or involuntary mislabeling cultivation areas. blending tobacco plant parts Would occur into tobacco market. The error will affect the style and quality of cigarettes. In the present work, more than 1000 Chinese flue-cured tobacco leaf samples, which have 12 genotypes and cultivated from 5 to 10 regions of China in 2003 and 2004, have been discriminated by means of an improved and simplified KNN classification algorithm (IS-KNN) based on near infrared (NIR) spectra. An original method of optimizing number of significant principal components (PCs) based oil analysis of error and cross-validation was advanced. Compared with conventional pattern recognition methods KINK NN, LDA and PLS-DA, IS-KNN exhibits good adaptability in discrimination of complicated Chinese flue-cured tobaccos. The practice in this work shows that optimized number of PCs and performance of classification models are closely relative to complicated extent of samples but not to number of categories or samples. The results demonstrated the usefulness of NIR spectra combined with chemometrics as an objective and rapid method for the authentication and identification of tobacco leaves or other kinds of powder samples. (C) 2008 Elsevier B.V. All rights reserved.