Anti-periodic solutions for high-order Hopfield neural networks
β Scribed by Chunxia Ou
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 426 KB
- Volume
- 56
- Category
- Article
- ISSN
- 0898-1221
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β¦ Synopsis
In this paper high-order Hopfield neural networks (HHNNs) with time-varying delays are considered. Sufficient conditions for the existence and exponential stability of anti-periodic solutions are established, which are new and complement previously known results.
π SIMILAR VOLUMES
In this paper, we discuss impulsive high-order Hopfield type neural networks. Investigating their global asymptotic stability, by using Lyapunov function method, sufficient conditions that guarantee global asymptotic stability of networks are given. These criteria can be used to analyse the dynamics
We investigate stationary oscillation for high-order Hopfield neural networks with time delays and impulses. In a recent paper [J. Zhang, Z. J. Gui, Existence and stability of periodic solutions of high-order Hopfield neural networks with impulses and delays, Journal of Computational and Applied Mat