Abstract
Pullback attractor for Cohen–Grossberg neural networks with time-varying delays is investigated. By using the theory of pullback attractors and Lyapunov-Krasovskii functional, some novel criteria are established to ensure the existence of pullback attractor for Cohen–Grossberg neural networks. Finally, two examples are given to illustrate our theoretical results and indicate that two sets of criteria do not include each other.
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