Asynchronous Fault Detection for Memristive Neural Networks With Dwell-Time-Based Communication Protocol-Reference-Cited by-同舟云学术

Asynchronous Fault Detection for Memristive Neural Networks With Dwell-Time-Based Communication Protocol

Author:

Lin An¹,Cheng Jun¹^ORCID,Rutkowski Leszek²^ORCID,Wen Shiping³^ORCID,Luo Mengzhuo⁴,Cao Jinde⁵^ORCID

Affiliation:

1. School of Mathematics and Statistics, Guangxi Normal University, Guilin, China

2. Institute of Computer Science, AGH University of Science and Technology, Kraków, Poland

3. Faculty of Engineering and Information Technology, University of Technology at Sydney, Sydney, NSW, Australia

4. College of Science, Guilin University of Technology, Guilin, China

5. School of Mathematics, Southeast University, Nanjing, China

Funder

National Natural Science Foundation of China

National Natural Science Foundation of Guangxi Province

Guangxi Science and Technology Base and Specialized Talents

Science and Technology Project of Guangxi

Training Program for 1000 Young and Middle-Aged Cadre Teachers in Universities of Guangxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

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