Type-\(K\) exponential ordering with application to delayed Hopfield-type neural networks
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Publication:442970
DOI10.1155/2012/580482zbMath1245.93060OpenAlexW2073661150WikidataQ58906170 ScholiaQ58906170MaRDI QIDQ442970
Publication date: 6 August 2012
Published in: Journal of Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2012/580482
attractordelay functional differential equationsdelayed Hopfield-type neural networkstype-K exponential ordering
Neural networks for/in biological studies, artificial life and related topics (92B20) Control/observation systems governed by ordinary differential equations (93C15)
Cites Work
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- Global dynamics of reaction-diffusion systems with delays
- Zur Theorie der Systeme gewöhnlicher Differentialgleichungen. II
- Global asymptotics in some quasimonotone reaction-diffusion systems with delays
- The coexistence of a community of species with limited competition
- Global exponential stability and periodic solutions of recurrent neural networks with delays
- The classification of the dynamical behavior of 3-dimensional type K monotone Lotka-Volterra systems
- Diffusive monotonicity and threshold dynamics of delayed reaction diffusion equations
- Discrete infinite-dimensional type-\(K\) monotone dynamical systems and time-periodic reaction--diffusion systems.
- Dynamics of the periodic type-\(K\) competitive Kolmogorov systems
- Competing Subcommunities of Mutualists and a Generalized Kamke Theorem
- Fixed Point Equations and Nonlinear Eigenvalue Problems in Ordered Banach Spaces
- Global Stability and Permanence for a Class of Type K Monotone Systems
- The necessary and sufficient conditions for the global stability of type-𝐾 Lotka-Volterra system
- The dynamical behaviour of type-K competitive Kolmogorov systems and its application to three-dimensional type-K competitive Lotka Volterra systems
- On the finite-dimensional dynamical systems with limited competition
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