微型机与应用Issue(5)：76-78,3.
基于人工神经网络的多维离群点检测算法
Outlier detecting algorithm for multidimensional datasets based on ANN
梁兵 1卢建军 1卫晨1
作者信息
- 1. 西安邮电大学 通信与信息工程学院，陕西 西安 710121
- 折叠
摘要
Abstract
To detect outlier more intelligently, avoid the mechanical character of traditional algorithm of outlier detecting and improve the efficiency of outlier mining for multidimensional data sets, this paper proposes an algorithm of outlier detecting for multidimensional data sets based on ANN founded on the pros and cons of traditional algorithm of outlier mining. The simulation results indicate that the algorithm has the advantages of less dependent to users and higher accuracy. It opens up a new approach for the outlier detecting.关键词
人工神经网络/多维数据/智能化/熵权Key words
ANN/multidimensional data/intelligentialize/entropy分类
信息技术与安全科学引用本文复制引用
梁兵,卢建军,卫晨..基于人工神经网络的多维离群点检测算法[J].微型机与应用,2014,(5):76-78,3.
