Self-excitation of neurons leads to multiperiodicity of discrete-time neural networks with distributed delays

DOI10.1007/s11432-010-4148-9zbMath1227.93074OpenAlexW1990924043MaRDI QIDQ543212

Mohamad Sannay, Xinghua Wang, Zhenkun Huang

Publication date: 17 June 2011

Published in: Science China. Information Sciences (Search for Journal in Brave)

Full work available at URL: http://engine.scichina.com/doi/10.1007/s11432-010-4148-9

zbMATH Keywords

distributed delaysdiscrete-time neural networksmultiperiodicityself-excitation

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Discrete-time control/observation systems (93C55) Dynamical systems in control (37N35)

Related Items (4)

Multiperiodicity and attractivity analysis for discrete-time second order delayed recurrent neural networks ⋮ Sequence memory based on an oscillatory neural network ⋮ A new self-learning optimal control laws for a class of discrete-time nonlinear systems based on ESN architecture ⋮ Leader-following consensus stability of discrete-time linear multiagent systems with observer-based protocols

Cites Work

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• Exponential stability preservation in discrete-time analogues of artificial neural networks with distributed delays
• Cellular neural networks: theory
• Discrete-time cellular neural networks for associative memories with learning and forgetting capabilities
• Multistability in Recurrent Neural Networks

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