研究了二元非线性时滞神经网络模型.获得了大阈值及临界阈值情形的渐近行为与全局指数稳定.特别是对临界情形建立了解趋于各平衡点的充要条件,其结果对相关文献的结论作了较大推广.
Asymptotic behavior and exponential stability of solutions of neural networks with McCulloch-Pitts nonlinearity are investigated. We discuss asymptotic behaviors and global exponential stability in the different thresholds cases. In particular, some new necessary and sufficient conditions are extablished in the critical case. This resuhs generalize the previous results given in the literature.