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Attractor and boundedness for stochastic Cohen–Grossberg neural networks with delays

✍ Scribed by Li Wan; Qinghua Zhou


Book ID
113816885
Publisher
Elsevier Science
Year
2012
Tongue
English
Weight
198 KB
Volume
79
Category
Article
ISSN
0925-2312

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Attractor and ultimate boundedness for s
✍ Li Wan; Qinghua Zhou 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 207 KB

This paper investigates the attractor and ultimate boundedness for stochastic cellular neural networks with delays. By employing the Lyapunov method and a Lasalle-type theorem, novel results and sufficient criteria on the attractor and ultimate boundedness are obtained.