应用数学和力学2013，Vol.34Issue(4)：383-398,16.DOI:10.3879/j.issn.1000-0887.2013.04.007
不连续激活函数的时滞神经网络的多稳定性
Multistability of Delayed Neural Networks With Discontinuous Activations
摘要
Abstract
The problem on the multistability was investigated for delayed neural networks with discontinuous activations. For the neural networks being studied, the traditional assumptions on the continuity and the monotonicity of the activation functions were not required. Several sufficient conditions for checking the coexistence and local exponential stability of equilibria for the considered neural networks were given. Finally, two numerical examples were given to show the effectiveness and less conservatism of the proposed criteria.关键词
神经网络/不连续激活函数/多重稳定/指数稳定Key words
neural network/ discontinuous neuron activation/ multistability/ exponential stability分类
数理科学引用本文复制引用
陈晓丰,宋乾坤..不连续激活函数的时滞神经网络的多稳定性[J].应用数学和力学,2013,34(4):383-398,16.基金项目
国家自然科学基金资助项目(61273021) （61273021）
