In this paper, a class of Cohen-Grossberg neural networks with bounded and unbounded delays are considered. Without assuming the boundedness, monotonicity, and differentiability of activation functions and any symmetry of interconnections, sufficient conditions for the existence and exponential stab
✦ LIBER ✦
Anti-periodic solutions for Cohen–Grossberg neural networks with bounded and unbounded delays
✍ Scribed by Yongkun Li; Li Yang
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 209 KB
- Volume
- 14
- Category
- Article
- ISSN
- 1007-5704
No coin nor oath required. For personal study only.
✦ Synopsis
In this paper, a class of Cohen-Grossberg neural networks (CGNNs) with bounded and unbounded delays are considered. We establish some sufficient conditions on the existence and exponential stability of anti-periodic solutions for the following Cohen-Grossberg neural networks
d ij ðtÞg j ðx j ðt À s ij ðtÞÞÞ "
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In this short communication Cohen-Grossberg neural network with neutral delays is studied by means of an abstract theorem of k-set contractive operator and some analysis techniques. Sufficient conditions are obtained for the existence of periodic solutions.