烟草科技Issue(2)：52-57,6.
欧马距离法在香料指纹图谱模式识别中的应用
Application of Euclidean-Mahalanobis Distance in Pattern Recognition of Flavor Fingerprint Chromatograph
赵曰利 1于宏晓 2宗兆奇 1马营 3吕成军1
作者信息
- 1. 山东中烟工业公司技术中心滕州站,山东省滕州市解放街9号,277500
- 2. 山东中烟工业公司技术中心青岛研发基地,山东省青岛市株洲路137号,266101
- 3. 山东中烟工业公司技术中心青州站,山东省青州市玲珑山北路1818号,262500
- 折叠
摘要
Abstract
A method for evaluating the fingerprint chromatographs of a mixed system by EuclideanMahalanobis distance was put forward.The Euclidean-Mahalanobis distances of GC/MS fingerprint chromatographs of six standard samples and two mixture samples, and six standard samples and eight absolute alcohol-diluted samples were calculated by combining with principal component analysis.The results showed that the standard samples were well discriminated from mixture or diluted samples by their Euclidean-Mahalanobis distances.It suggested that Euclidean-Mahalanobis distance combining with principal component analysis could be used to recognize flavor fingerprint chromatographs.关键词
指纹图谱/模式识别/距离/算法/香精香料分类
轻工纺织引用本文复制引用
赵曰利,于宏晓,宗兆奇,马营,吕成军..欧马距离法在香料指纹图谱模式识别中的应用[J].烟草科技,2011,(2):52-57,6.
