机译:基于忆阻器的Willshaw网络:存在缺陷时对噪声的容量和鲁棒性
IFIMUP and IN-Institute of Nanotechnology, and Department of Physics and Astronomy, Faculty of Sciences, University of Porto, Rua do Campo Alegre, 678, 4169-007 Porto, Portugal;
IFIMUP and IN-Institute of Nanotechnology, and Department of Physics and Astronomy, Faculty of Sciences, University of Porto, Rua do Campo Alegre, 678, 4169-007 Porto, Portugal;
IFIMUP and IN-Institute of Nanotechnology, and Department of Physics and Astronomy, Faculty of Sciences, University of Porto, Rua do Campo Alegre, 678, 4169-007 Porto, Portugal;
INEB, Institute of Biomedical Engineering, Rua do Campo Alegre, 823 4150-180 Porto, Portugal;
机译:具有时变时滞或噪声的马尔可夫切换的神经网络全局指数稳定性的鲁棒性分析
机译:存在时变时滞或噪声的马尔可夫切换神经网络全局指数稳定性的鲁棒性分析
机译:鲁棒非线性归零神经网络在各种噪声存在下寻找Lyapunov方程精确解的性能优势
机译:连接权重矩阵和噪声存在不确定性时反应扩散神经网络全局指数稳定性的鲁棒性分析
机译:强大的网络:神经网络基于自然梯度的量化噪声和模拟计算噪声鲁棒
机译:回复布鲁格曼:在分散式网络中学习对于噪声是强大的
机译:人脑固有连接网络对声学扫描仪噪声存在的鲁棒性
机译:WmD压力源下协同网络的鲁棒功能和主动数据管理