研究了一类具变时滞模糊BAM(bi-directional associative memory)神经网络。利用Yang不等式和构造Lyapuonv函数等技巧,在弱化条件下给出了BAM神经网络周期解的全局指数稳定性的充分条件。
In this paper, a class of non-autonomous fuzzy BAM(bi-directional associative memory) neu- ral networks with time-varying delays.By utilizing the Lyapunov functional methond, applying Young inequality technique and some analysis techniques, one sufficient condition is obtained for the global exponential stability of periodic solutions for a class of fuzzy BAM neural networks with time-varying delays under the weaker condition.