首页> 外文会议>Chinese Control and Decision Conference >Stability and Hopf bifurcation of an n-neuron annular neural network with time-delay
【24h】

Stability and Hopf bifurcation of an n-neuron annular neural network with time-delay

机译:时滞N-Neuron环形神经网络的稳定性和Hopf分叉

获取原文

摘要

It is well known that nonlinear dynamical systems with high dimensional are relatively complex to study. In this paper, the dynamics of an n-neuron annular neural network with time-delay are investigated. Through analyzing the associated characteristic equation, we obtained the local stability at the equilibrium, and then show the conditions when the proposed system lose its stability so that the Hopf bifurcation occurs. Finally, we give some numerical simulations to justify the obtained results of the proposed scheme.
机译:众所周知,具有高维的非线性动力系统与研究相对复杂。本文研究了具有时滞的N-Neuron环形神经网络的动态。通过分析相关的特性方程,我们获得了均衡的局部稳定性,然后在提出的系统失去其稳定性时显示了条件,以便发生跳跃分叉。最后,我们提供了一些数值模拟,以证明所获得的计划的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号