Effect of fuzziness on the stability of inertial neural networks with mixed delay via non-reduced-order method-Reference-Cited by-同舟云学术

Effect of fuzziness on the stability of inertial neural networks with mixed delay via non-reduced-order method

Published:2019-10-02 Issue:3-4 Volume:4 Page:151-170
ISSN:2379-9927
Container-title:International Journal of Computer Mathematics: Computer Systems Theory
language:en
Short-container-title:International Journal of Computer Mathematics: Computer Systems Theory

Author:

Aouiti Chaouki¹,Abed Assali El¹

Affiliation:

1. Research Units of Mathematics and Applications UR13ES47, Department of Mathematics, Faculty of Sciences of Bizerta, University of Carthage, Bizerta, Tunisia

Publisher

Informa UK Limited

Subject

Computational Theory and Mathematics,Computational Mathematics

Link

https://www.tandfonline.com/doi/pdf/10.1080/23799927.2019.1685006

Reference31 articles.

1. Finite-time synchronization for fuzzy cellular neural networks with time-varying delays

2. Finite-time and fixed-time synchronization of a class of inertial neural networks with multi-proportional delays and its application to secure communication

3. Stability Analysis for a Class of Impulsive Bidirectional Associative Memory (BAM) Neural Networks with Distributed Delays and Leakage Time-Varying Delays

4. Stability analysis for a class of impulsive high-order Hopfield neural networks with leakage time-varying delays

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

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