Bayes-OS-ELM :An Novel Ensemble Method For Classification Application

Online Sequential Extreme Learning Machine (OS-ELM) has high accuracy and fast update speed in the areas of classification, such as fault diagnosis and anomaly detection. However, OS-ELM selects hidden layer parameters randomly leads to unstable output, which reduces the reliability of OS-ELM seriou...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) S. 160 - 166
Hauptverfasser:	Zhu, Qingyu, Bai, Rui, Li, Mengting, Chen, Shaowei, Wen, Pengfei
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2019
Schlagworte:	Bayes-OS-ELM Classification algorithms ensemble method Fuses Learning systems Naive Bayes Optimization OS-ELM parallel structure Stability analysis sub-classifier Training
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!