Partial-Neurons-Based Proportional-Integral Observer Design for Artificial Neural Networks: A Multiple Description Encoding Scheme-Reference-Cited by-同舟云学术

Partial-Neurons-Based Proportional-Integral Observer Design for Artificial Neural Networks: A Multiple Description Encoding Scheme

Published:2022 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Zhao Di¹^ORCID,Wang Zidong²^ORCID,Chen Yun³^ORCID,Wei Guoliang⁴^ORCID,Sheng Weiguo⁵^ORCID

Affiliation:

1. College of Science, Biomedical Engineering Postdoctoral Research Mobile Station, University of Shanghai for Science and Technology, Shanghai, China

2. Department of Computer Science, Brunel University London, Uxbridge, U.K.

3. School of Automation, Hangzhou Dianzi University, Hangzhou, China

4. Business School, University of Shanghai for Science and Technology, Shanghai, China

5. School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, China

Funder

National Natural Science Foundation of China

Royal Society of the U

Alexander von Humboldt Foundation of Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09912381.pdf?arnumber=9912381

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