Stability analysis for delayed Cohen–Grossberg Clifford‐valued neutral‐type neural networks-Reference-Cited by-同舟云学术

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Stability analysis for delayed Cohen–Grossberg Clifford‐valued neutral‐type neural networks

Published:2022-06-07 Issue:17 Volume:45 Page:10925-10945
ISSN:0170-4214
Container-title:Mathematical Methods in the Applied Sciences
language:en
Short-container-title:Math Methods in App Sciences

Author:

Sriraman Ramalingam¹,Rajchakit Grienggrai²,Kwon Oh‐Min³^ORCID,Lee Sang‐Moon⁴

Affiliation:

1. Department of Mathematics Kalasalingam Academy of Research and Education Srivilliputhur India

2. Department of Mathematics, Faculty of Science Maejo University Chiang Mai Thailand

3. School of Electrical Engineering Chungbuk National University Cheongju Republic of Korea

4. School of Electronics Engineering Kyungpook National University Daegu Republic of Korea

Funder

Ministry of Science and ICT, South Korea

Ministry of Higher Education and Scientific Research

National Research Foundation of Korea

Publisher

Wiley

Subject

General Engineering,General Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mma.8426

Reference47 articles.

1. Absolute stability of global pattern formation and parallel memory storage by competitive neural networks

2. Exponential and almost sure exponential stability of stochastic fuzzy delayed Cohen–Grossberg neural networks

3. New stability criteria for neutral-type Cohen–Grossberg neural networks with discrete and distributed delays

4. New criteria for global stability of neutral-type Cohen–Grossberg neural networks with multiple delays

5. Stability analysis of Cohen–Grossberg neural networks of neutral-type: Multiple delays case

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