Novelty detection using Self-Organizing Maps

被引:0
|
作者
Ypma, A [1 ]
Duin, RPW [1 ]
机构
[1] Delft Univ Technol, Fac Appl Phys, Pattern Recognit Grp, NL-2628 CJ Delft, Netherlands
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Failure detection in process monitoring involves a classification mainly on the basis of data from normal operation. When a Self-Organizing Map is used for the description of normal system behaviour, a compatibility measure is needed for declaring a map and a dataset as matching. We propose a novel variant of one such measure and investigate usefulness of consisting and novel measures both with synthetic data and in two real world applications.
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收藏
页码:1322 / 1325
页数:4
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