首页|具有时变时滞的复值BAM神经网络的概周期解

具有时变时滞的复值BAM神经网络的概周期解

The Almost Periodic Solution of Complex-valued BAM Neural Networks with Time-varying Delays

扫码查看
研究了一类具有时变时滞的复值BAM神经网络,利用Banach空间中的不动点定理、实数集上的指数二分性,以及若干微分不等式技巧,获得了该类复值神经网络的概周期解存在、唯一,以及一致稳定的充分条件.最后,通过实例验证了所得结果的有效性与可行性.
In this paper,a class of complex-valued BAM neural networks with time-varying delays is studied.By using the Fixed-point theorem in Banach spaces,the exponential dichotomy on the set of real numbers,and some techniques of differential inequalities,sufficient conditions for the existence,unique-ness and uniform stability of almost periodic solutions of the complex-valued neural networks are ob-tained.Finally,an example is given to verify the validity and feasibility of the results.

complex-valued neural networksBAM neural networksalmost periodic solutionfixed point theoremuniform stability

赵莉莉

展开 >

云南大学 数学与统计学院,云南 昆明 650091

复值神经网络 BAM神经网络 概周期解 不动点定理 一致稳定性

云南省教育厅自然科学研究项目云南大学教育教学改革项目

2020J00202023Y22

2024

滨州学院学报
滨州学院

滨州学院学报

影响因子:0.174
ISSN:1673-2618
年,卷(期):2024.40(2)