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机译:改进的静态递归神经网络的渐近稳定性标准
College of Automation, Chongqing University, 400044, Chongqing, China Department of Computer Science, Chongqing Education College, 400067, Chongqing, China;
College of Automation, Chongqing University, 400044, Chongqing, China School of Engineering,University of Guelph, Guelph, Ontario, Canada NIG 2W1;
Department of Computer Science, Chongqing Education College, 400067, Chongqing, China;
global asymptotical stability; linear matrix inequality (LMI); lyapunov-krasvoskii func- tional; delay partitioning approach; recurrent neural network;
机译:用时变延迟改善静态经常性神经网络的稳定性标准
机译:区间时变时滞神经网络的改进渐近稳定性判据
机译:时滞神经网络的改进的时滞相关渐近稳定性判据
机译:随机扰动的时滞静态神经网络的渐近稳定性判据
机译:应用神经网络模型预测具有静态和动态风险因素的儿童福利病例的再次虐待
机译:具有时变时滞的静态递归神经网络的改进稳定性判据
机译:具有时变延迟的静态神经网络的改进延迟依赖性全局渐近稳定性标准