A fault diagnosis algorithm of artificial immune network model based on neighborhood rough set theory

This paper proposes a fault diagnosis algorithm of artificial immune network model based on neighborhood rough set theory. In the algorithm, the relationships between pruning threshold, the rates of mis-diagnosis, and missed diagnosis are discussed in the shape space. In addition, the fault mode bou...

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Bibliographische Detailangaben

Hauptverfasser:	Yonghuang Zheng, Feng Tian, Renhou Li, Qingsong Song, Longzhuang Li
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	artificial immune network fault diagnosis Neighborhood rough set the pruning threshold adjustment
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