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...

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Vydané v:	2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) s. 160 - 166
Hlavní autori:	Zhu, Qingyu, Bai, Rui, Li, Mengting, Chen, Shaowei, Wen, Pengfei
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.08.2019
Predmet:	Bayes-OS-ELM Classification algorithms ensemble method Fuses Learning systems Naive Bayes Optimization OS-ELM parallel structure Stability analysis sub-classifier Training
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