Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1863338 | Physics Letters A | 2007 | 10 Pages |
Abstract
The stability property of stochastic hybrid bidirectional associate memory (BAM) neural networks with discrete delays is considered. Without assuming the symmetry of synaptic connection weights and the monotonicity and differentiability of activation functions, the delay-independent sufficient conditions to guarantee the exponential stability of the equilibrium solution for such networks are given by using the nonnegative semimartingale convergence theorem.
Keywords
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Physical Sciences and Engineering
Physics and Astronomy
Physics and Astronomy (General)
Authors
Li Wan, Qinghua Zhou,