Ling He
Henan Normal University
3 Papers
26 Citations
Ling He is an academic researcher from Henan Normal University. The author has contributed to research in topics: Extreme learning machine & Support vector machine. The author has an hindex of 3, co-authored 3 publications.
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Papers
Online sequential prediction of bearings imbalanced fault diagnosis by extreme learning machine
TL;DR: An online sequential prediction method for imbalanced fault diagnosis problem is proposed based on extreme learning machine and proves that, even existing information loss, the proposed method has lower bound of the model reliability.
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Online sequential prediction of imbalance data with two-stage hybrid strategy by extreme learning machine
TL;DR: The proposed online sequential extreme learning machine method with two-stage hybrid strategy with Sherman–Morrison matrix inversion lemma outperforms the classical ELM, OS-ELM and meta-cognitive OS- ELM in terms of generalization performance and numerical stability.
23
Two-Stage Hybrid Extreme Learning Machine for Sequential Imbalanced Data
Wentao Mao,Wentao Mao,Jinwan Wang,Ling He,Yangyang Tian +4 more
- 01 Jan 2016
TL;DR: The proposed online sequential extreme learning machine method with two-stage hybrid strategy with Sherman-Morrison matrix inversion lemma outperforms the classical ELM, OS- ELM and meta-cognitive OS-ELM in terms of generalization performance and numerical stability.
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