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机译:随着时变延迟的全局指数耗散与忆内复发神经网络的稳定
College of Mathematics and Econometrics Hunan University Changsha 410082 China Department of;
Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Shatin;
Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Shatin;
Global exponential dissipativity; Memristor; Neurodynamics; Recurrent neural networks; Stabilization;
机译:具有时变时滞的忆阻器递归神经网络的全局指数耗散性和稳定性
机译:具有时变时滞的忆阻器递归神经网络的全局指数同步
机译:基于Memristor的反复性神经网络与时变延迟的全局指数同步
机译:具有脉冲时变时滞的基于惯性忆阻器的递归神经网络的鲁棒指数同步
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:具有多个时变时滞的递归神经网络的指数输入到状态稳定性
机译:具有时变延迟的经常性神经网络的新的全球指数稳定性标准