Robust extreme learning machine neural approach for uncertain nonlinear hyper‐chaotic system identification-Reference-Cited by-同舟云学术

Robust extreme learning machine neural approach for uncertain nonlinear hyper‐chaotic system identification

Published:2021-09-14 Issue:18 Volume:31 Page:9127-9148
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Int J Robust Nonlinear Control

Author:

Anh Ho Pham Huy¹²^ORCID,Van Kien Cao³

Affiliation:

1. Faculty of Electrical‐Electronics Engineering (FEEE) Ho Chi Minh City University of Technology (HCMUT) Ho Chi Minh City Vietnam

2. Vietnam National University Ho Chi Minh City (VNU‐HCM), Linh Trung Ward, Thu Duc District Ho Chi Minh City Vietnam

3. Faculty of Electronics Technology Industrial University of Ho Chi Minh City Ho Chi Minh City Vietnam

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rnc.5756

Reference29 articles.

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3. Multilayer feedforward networks are universal approximators

4. Probabilistic Load Forecasting Using an Improved Wavelet Neural Network Trained by Generalized Extreme Learning Machine

5. Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces

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