Research and Application of Anormaly Detection Based on Improved DM-SVDD Algorithm

Research and Application of Anormaly Detection Based on Improved DM-SVDD Algorithm

Aiming at the problem that traditional anomaly detection model has poor recognition effect on a small number of abnormal samples under the condition of data imbalance, in this paper we proposed a support vector data description algorithm combined with improved diffusion maps (DM-SVDD), constructed a...

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Bibliographic Details
Main Authors: Jie WANG, Xueying ZHANG, Fenglian LI, Haiwen DU, Lijun YU, Xiu MA
Format: Article
Language:English
Published: Editorial Office of Journal of Taiyuan University of Technology 2021-09-01
Series:Taiyuan Ligong Daxue xuebao
Subjects:
support vector data description
diffusion maps
anomaly detection
unbalanced data
polysilicon ingots data
Online Access:https://tyutjournal.tyut.edu.cn/englishpaper/show-325.html

Internet

https://tyutjournal.tyut.edu.cn/englishpaper/show-325.html

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