...
机译:泄漏项和脉冲效应具有多个时变时滞的离散时间递归神经网络的新全局渐近稳定性
Sri Vijay Vidyalaya Coll Arts & Sci, Dept Math, Dharmapuri 636807, India;
Alagappa Univ, Ramanujan Ctr Higher Math, Karaikkudi 630004, Tamil Nadu, India;
Nanjing Normal Univ, Sch Math Sci, Nanjing 210023, Jiangsu, Peoples R China|Nanjing Normal Univ, Inst Finance & Stat, Nanjing 210023, Jiangsu, Peoples R China|Univ Bielefeld, Dept Math, D-33615 Bielefeld, Germany;
Khadir Mohideen Coll, Dept Math, Adirampattinam 614701, Thanjavur, India;
Nanjing Xiaozhuang Univ, Sch Math & Informat Technol, Nanjing 211171, Jiangsu, Peoples R China;
Leakage delay; Asymptotic stability; Recurrent neural network; Delay-dependent; Linear matrix inequality; Impulse; Time-varying delay;
机译:随机参数不确定性和时变漏延迟的脉冲离散时间BAM神经网络:渐近稳定性分析
机译:具有加时变时滞和泄漏时滞的脉冲离散时间马尔可夫跳跃随机BAM神经网络的反周期解的全局指数稳定性
机译:具有泄漏时变延迟的冲动Hopfield神经网络的全球渐近稳定性的新结果
机译:具有混合时变时滞的广义递归神经网络的全局鲁棒渐近稳定性
机译:具有时变时间延迟的内在稳定动态网络和交换网络的指数稳定性
机译:附加时变时滞复数值神经网络的全局渐近稳定性
机译:具有泄漏时变延迟的冲动Hopfield神经网络的全球渐近稳定性的新结果