机译:具有非单调不连续激活功能的Takagi-Sugeno模糊神经网络的几乎定期解决方案的多态性能和时变延迟
Chongqing Univ Key Baboratory Dependable Serv Comp Cyber Phys So Minist Educ Chongqing 400044 Peoples R China|Chongqing Univ Sch Automat Chongqing 400044 Peoples R China;
Chongqing Univ Key Baboratory Dependable Serv Comp Cyber Phys So Minist Educ Chongqing 400044 Peoples R China|Chongqing Univ Sch Automat Chongqing 400044 Peoples R China;
Chongqing Univ Key Baboratory Dependable Serv Comp Cyber Phys So Minist Educ Chongqing 400044 Peoples R China|Chongqing Univ Sch Automat Chongqing 400044 Peoples R China;
Chongqing Univ Key Baboratory Dependable Serv Comp Cyber Phys So Minist Educ Chongqing 400044 Peoples R China|Chongqing Univ Sch Automat Chongqing 400044 Peoples R China;
Neural networks; Takagi-Sugeno model; Fuzzy neural networks; Delays; Stability analysis; Control theory; Almost-periodic solution; attraction basin; multistability; nonmonotonic discontinuous activation function; Takagi–Sugeno fuzzy neural networks;
机译:具有不连续激活函数和时滞的Takagi-Sugeno模糊神经网络的鲁棒模糊控制
机译:具有不连续激活函数和时滞的Takagi-Sugeno模糊神经网络的鲁棒模糊控制
机译:具有不连续激活函数和时滞的Takagi-Sugeno模糊神经网络的鲁棒模糊控制
机译:具有不连续激活函数的神经网络的几乎周期解的多重稳定性
机译:具有延迟反馈的神经网络中的多重稳定性:理论与应用。
机译:具有不连续激活函数的时滞Takagi-Sugeno模糊Hopfield神经网络的鲁棒稳定性分析
机译:具有不连续激活函数的时滞Takagi-Sugeno模糊Hopfield神经网络的鲁棒稳定性分析