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

来源：

PROGRESS IN CONNECTIONIST-BASED INFORMATION SYSTEMS, VOLS 1 AND 2 | 1998年

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.

引用

页码：1322 / 1325

页数：4

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