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Almost periodic solution of Cohen-Grossberg neural networks with bounded and unbounded delays. (English) Zbl 1163.92309
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:
92B20 Neural networks for/in biological studies, artificial life and related topics
68T05 Learning and adaptive systems in artificial intelligence
65C20 Probabilistic models, generic numerical methods in probability and statistics
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