时滞BAM神经网络周期解的存在唯一性  

Existence and Uniqueness of Periodic Solutions for BAM Neural Networks with Delays

作　　者：杨树杰 毛凯 赵文飞 宋玮玮[2] YANG Shujie;MAO Kai;ZHAO Wenfei;SONG Weiwei(Naval Aviation University,Yantai Shandong 264001,China;Wenjing College,Yantai University,Yantai Shandong 264000,China)

机构地区：[1]海军航空大学,山东烟台264001 [2]烟台大学文经学院,山东烟台264000

出　　处：《海军航空工程学院学报》2019年第4期396-400,共5页Journal of Naval Aeronautical and Astronautical University

基　　金：山东省自然科学基金资助项目(ZR2014AM006)

摘　　要：研究了一类具有变系数及状态依赖时滞或分布时滞的BAM神经网络模型的周期解存在唯一性问题,利用不动点定理获得了周期解的存在唯一性条件,并应用数例说明结论的有效性。The existence and uniqueness of periodic solutions for a class of BAM neural networks with variable coefficients and state dependent or distributed delays were studied.The existence and uniqueness conditions of periodic solutions were obtained by using the fixed point theorem.Several examples were given to illustrate the validity of the conclusions.

关 键 词：双向联想记忆神经网络 状态依赖时滞 周期解 不动点 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]