Anti-periodic solution for impulsive high-order Hopfield neural networks with time-varying delays in the leakage terms

DOI10.1186/1687-1847-2013-273zbMath1375.34106OpenAlexW2114775134WikidataQ59298844 ScholiaQ59298844MaRDI QIDQ1682368

Wentao Wang

Publication date: 30 November 2017

Published in: Advances in Difference Equations (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/1687-1847-2013-273

zbMATH Keywords

exponential stabilitytime-varying delayantiperiodic solutionleakage termimpulsive high-order Hopfield neural networks

Mathematics Subject Classification ID

Dynamical systems in biology (37N25) Stability theory of functional-differential equations (34K20) Qualitative investigation and simulation of models involving functional-differential equations (34K60)

Related Items (5)

Unnamed Item ⋮ Global exponential stability of antiperiodic solution for impulsive high-order Hopfield neural networks ⋮ Existence and global exponential stability of anti‐periodic solutions for delayed quaternion‐valued cellular neural networks with impulsive effects ⋮ On fractional neutral integro-differential systems with state-dependent delay and non-instantaneous impulses ⋮ On anti-periodic solutions of a shunting inhibitory cellular neural networks with distributed delays

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• Existence and exponential stability of anti-periodic solutions for HCNNs with time-varying leakage delays
• On the training and performance of high-order neural networks
• Multiple periodic solutions to nonlinear discrete Hamiltonian systems
• Anti-periodic solutions for high-order Hopfield neural networks

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