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Zbl 1163.92309
Xiang, Hongjun; Cao, Jinde
Almost periodic solution of Cohen-Grossberg neural networks with bounded and unbounded delays.
(English)
[J] Nonlinear Anal., Real World Appl. 10, No. 4, 2407-2419 (2009). ISSN 1468-1218

Summary: A class of Cohen-Grossberg neural networks with bounded and unbounded delays is discussed. Several new sufficient conditions are obtained ensuring the existence and exponential stability of almost periodic solutions for this model based on inequality analysis techniques and combing the exponential dichotomy with fixed point theorems. The obtained results are helpful to design globally exponentially stable almost periodic oscillatory neural networks. Two numerical examples and simulations are also given to show the feasibility of our results.
MSC 2000:
*92B20 General theory of neural networks
68T05 Learning and adaptive systems
65C20 Models (numerical methods)
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Scientific prize winners of the ICM 2010
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Lie groups, physics and geometry. An introduction for physicists, engineers and chemists.

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