刑事技术2018，Vol.43Issue(3)：218-221,4.DOI:10.16467/j.1008-3650.2018.03.010
基于马氏距离算法区分玻璃样品的研究
Distinguishing the Glass Samples by Mahalanobis Distance Algorithm
摘要
Abstract
Objective To distinguish glass samples by an automated algorithm. Methods The concentrations of 42-kind elements were analyzed from 200-category tested glass samples with LA-ICP/MS method. Mahalanobis distance was used to establish a computer-operated programming algorithm for distinguishing the glass samples. Results Among the 70-catogery glass samples that were randomly selected from the newly-built sample database to classify by mahalanobis distance algorithm, 68 sets of data were sorted out accurately, revealing the distinguishing accuracy up to 97％. Conclusion Glass samples can be effectively distinguished based on Mahalanobis distance algorithm.关键词
激光剥蚀电感耦合等离子体质谱/玻璃/马氏距离Key words
LA-ICP/MS/Glass/Mahalanobis distance分类
社会科学引用本文复制引用
刘慧娟,姜华,王璐..基于马氏距离算法区分玻璃样品的研究[J].刑事技术,2018,43(3):218-221,4.基金项目
公安部应用创新计划项目(No.2014YYCXBJSJ003) （No.2014YYCXBJSJ003）
