General decay anti-synchronization and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si4.svg" display="inline" id="d1e153"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> anti-synchronization of derivative coupled delayed memristive neural networks with constant and delayed state coupling-Reference-Cited by-同舟云学术

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General decay anti-synchronization and H∞ anti-synchronization of derivative coupled delayed memristive neural networks with constant and delayed state coupling

Published:2024-12 Issue: Volume:139 Page:108313
ISSN:1007-5704
Container-title:Communications in Nonlinear Science and Numerical Simulation
language:en
Short-container-title:Communications in Nonlinear Science and Numerical Simulation

Author:

Huang Yanli,Li Aobo

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference37 articles.

1. On neural network application in solid mechanics;Soric;Trans Famena,2023

2. Approximation bounds for norm constrained neural networks with applications to regression and GANs;Jiao;Appl Comput Harmon Anal,2023

3. Application of neural networks and machine learning in image recognition;Gali;Tehnicki Vjesnik-Technical Gazette,2024

4. μ-synchronization of coupled neural networks with hybrid delayed and non-delayed impulsive effects;Fan;Chaos Solitons Fractals,2023

5. Finite-time passivity of adaptive coupled neural networks with undirected and directed topologies;Wang;IEEE Trans Cybern,2020

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