Improved weighted extreme learning machine with adaptive cost-sensitive strategy for imbalanced fault diagnosis of rotating machinery

Since the fixed weight strategy and the ignored significance of class may reduce the diagnostic performance of weighted extreme learning machine (WELM) in real scenarios, this paper proposed an improved weighted extreme learning machine (IWELM) method with adaptive cost-sensitive strategy for imbala...

Celý popis

Podrobná bibliografia

Vydané v:	Mechanical systems and signal processing Ročník 217; s. 111526
Hlavní autori:	Zhao, Yinghao, Yang, Xu, Huang, Jian, Gao, Jingjing, Cui, Jiarui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.08.2024
Predmet:	Cost-sensitive matrix Imbalanced fault diagnosis Multi-objective multi-verse optimizer algorithm Weighted extreme learning machine Weighted extreme learning machine Cost-sensitive matrix Multi-objective multi-verse optimizer algorithm Imbalanced fault diagnosis
ISSN:	0888-3270, 1096-1216
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!