Global exponential convergence of neutral-type competitive neural networks with multi-proportional delays, distributed delays and time-varying delay in leakage delays-Reference-Cited by-同舟云学术

Global exponential convergence of neutral-type competitive neural networks with multi-proportional delays, distributed delays and time-varying delay in leakage delays

Published:2018-07-24 Issue:10 Volume:49 Page:2202-2214
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Aouiti Chaouki¹,abed Assali El¹,Cao Jinde²³,Alsaedi Ahmed⁴^ORCID

Affiliation:

1. Faculty of Sciences of Bizerta, Department of Mathematics, Research Units of Mathematics and Applications, University of Carthage, Zarzouna, Tunisia

2. Department of Mathematics, and Research Center for Complex Systems and Network Sciences, Southeast University, Nanjing, People's Republic of China

3. Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia

4. Nonlinear Analysis and Applied Mathematics (NAAM), Research Group, Department of Mathematics, King Abdulaziz University, Jeddah, Saudi Arabia

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2018.1496297

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1. Dynamics and oscillations of generalized high-order Hopfield neural networks with mixed delays

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5. Finite time boundedness of neutral high-order Hopfield neural networks with time delay in the leakage term and mixed time delays

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