This paper investigates the absolute exponential stability of generalized neural networks with a general class of partially Lipschitz continuous and monotone increasing activation functions.
本文研究了一类具偏李·普希兹连续和单调增加激活函数的神经网络绝对指数稳定性问题。
This paper investigates the absolute exponential stability of generalized neural networks with a general class of partially Lipschitz continuous and monotone increasing activation functions.
本文研究了一类具偏李·普希兹连续和单调增加激活函数的神经网络绝对指数稳定性问题。
应用推荐