Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
838954 | Nonlinear Analysis: Real World Applications | 2009 | 11 Pages |
Abstract
In this paper, we study a class of neural networks with discontinuous activations, which include bidirectional associative memory networks and cellular networks as its special cases. By the Leray–Schauder alternative theorem, matrix theory and generalized Lyapunov approach, we obtain some sufficient conditions ensuring the existence, uniqueness and global asymptotic stability of the periodic solution. Our results are less restrictive than previously known criteria and can be applied to neural networks with a broad range of activation functions assuming neither boundedness nor monotonicity.
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Authors
Lihong Huang, Jiafu Wang, Xiangnan Zhou,