%0 Journal Article
%T Parametric Stabilization of the Ring and Linear Neural Network with Two Delays
%A Dongxia Zhao
%A Dongxia Fan
%A Yaping Guo
%J Journal of Applied Mathematics and Physics
%P 1468-1482
%@ 2327-4379
%D 2021
%I Scientific Research Publishing
%R 10.4236/jamp.2021.97099
%X This paper is devoted to the problem of stabilizing a Hopfield-type neural network with bi-directional ring architecture and two delays. The delay-independent and delay-dependent stability conditions are explicitly presented by the method of the characteristic roots and the skill of mathematical analysis. Moreover, if a link between the adjacent two neurons is cut, the ring neural network turns to a linear one, and the stability results are also established. Furthermore, a comparative analysis for the ring and linear network shows that the stability domain is enlarged after the breaking.
%K Neural Network
%K Time Delay
%K Exponential Polynomial
%K Linear and Ring Neural Configuration
%K Stability
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=110499