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Global dissipativity of neural networks with both variable and unbounded delays. (English) Zbl 1072.92005
Summary: The dissipativity of neural networks with both variable and unbounded delays is investigated. By constructing proper Lyapunov functions and using some analytic techniques, several sufficient conditions are given to ensure the dissipativity of neural networks with both variable and unbounded delays. The results extend and improve earlier publications. An example is given to show the effectiveness of the obtained results.
MSC:
92B20General theory of neural networks (mathematical biology)
34K60Qualitative investigation and simulation of models
37N25Dynamical systems in biology
68T05Learning and adaptive systems