A TOPSIS based Self-Organizing Double Loop Recurrent Broad Learning System for Uncertain Nonlinear Systems-Reference-Cited by-同舟云学术

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A TOPSIS based Self-Organizing Double Loop Recurrent Broad Learning System for Uncertain Nonlinear Systems

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
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Author:

Huang Wei-Zhong¹,Zhao Yang¹,Hong Wei-Bin¹,He Hong-Rui¹,Chao Fei¹,Yang Longzhi²,Lin Chih-Min³,Chang Xiang⁴,Shang Changjiang⁴,Shen Qiang⁴

Affiliation:

1. Xiamen University,Department of Artificial Intelligence,Xiamen,China,361005

2. Northumbria University,Department of Computer and Information Sciences,Newcastle,UK,NE1 8ST

3. Yuan Ze University,Department of Electrical Engineering,Taoyuan,Taiwan,32003

4. Aberystwyth University,Department of Computer Science,Aberystwyth,UK,SY23 3DB

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892855.pdf?arnumber=9892855

Reference33 articles.

1. Intelligent robust control for uncertain nonlinear multivariable systems using recurrent cerebellar model neural networks;chen;Acta Polytechnica Hungarica,2015

2. A mathematical theory of communication

3. Fuzzy-torque approximation-enhanced sliding mode control for lateral stability of mobile robot;li;IEEE Transactions on Systems Man and Cybernetics Systems,2021

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