Time‐dependent neural networks with activation functions violating the standard Lipschitz condition-Reference-Cited by-同舟云学术

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Time‐dependent neural networks with activation functions violating the standard Lipschitz condition

Published:2022-06-10 Issue:17 Volume:45 Page:11659-11666
ISSN:0170-4214
Container-title:Mathematical Methods in the Applied Sciences
language:en
Short-container-title:Math Methods in App Sciences

Author:

Tatar Nasser‐eddine¹^ORCID,Rathinasamy Sakthivel²^ORCID

Affiliation:

1. Department of Mathematics, IRC for Intelligent Manufacturing and Robotics King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia

2. Department of Applied Mathematics Bharathiar University Coimbatore India

Funder

King Fahd University of Petroleum and Minerals

Publisher

Wiley

Subject

General Engineering,General Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mma.8472

Reference27 articles.

1. A general framework for global asymptotic stability analysis of delayed neural networks based on LMI approach

2. Delay-dependent stability criterion for delayed Hopfield neural networks

3. Some sufficient conditions for global exponential stability of delayed Hopfield neural networks

4. Improved Global Robust Stability Criteria for Delayed Neural Networks

5. Simplified LMI condition for global asymptotic stability of delayed neural networks

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