Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9507281 | Applied Mathematics and Computation | 2005 | 18 Pages |
Abstract
Global asymptotic stability and global exponential stability of the Cohen-Grossberg neural networks and Hopfield neural networks with infinite and finite distributed delays are investigated in this paper. For Hopfield neural networks with distributed delays, local stability is also discussed. The existence and global stability of periodic solutions of Hopfield neural networks with distributed delays and periodic inputs are achieved by using the theory of dissipative systems.
Keywords
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Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Lin Wang,