Sufficient and necessary conditions for global attractivity and stability of a class of discrete Hopfield-type neural networks with time delays

DOI10.3934/mbe.2019249zbMath1496.68286OpenAlexW2947430101WikidataQ93200571 ScholiaQ93200571MaRDI QIDQ2160822

Wanbiao Ma, Yanjie Hong

Publication date: 3 August 2022

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2019249

zbMATH Keywords

stabilityglobal attractivitytime delaysdifference equationHopfield neural networks

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07)

Related Items (5)

Adaptive synchronization for fractional stochastic neural network with delay ⋮ Global exponential stability of discrete-time Hopfield neural network models with unbounded delays ⋮ Existence and stability of a periodic solution of a general difference equation with applications to neural networks with a delay in the leakage terms ⋮ A characterization of delay independent stability for linear off-diagonal delay difference equations ⋮ Editorial: mathematical modeling to solve the problems in life sciences

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