题  目：A fixed point approach towards stability of delay differential equations with applications to neural networks

内容简介：We present new conditions for asymptotic stability and exponential stability of a class of neural networks with discrete and distributed time varying delays. Our approach is based on the method using fixed point theory, which do not resort to any Liapunov function or Liapunov functional. Our results neither require the boundedness, monotonicity and differentiability of the activation functions nor differentiability of the time varying delays. Examples are given to illustrate our main results.

报告人：西南交通大学数学学院  陈桂玲  博士

时  间：2016年7月1日（周五）上午11：00始

地  点：南海楼三楼师生研讨室

热烈欢迎广大师生参加!

信息科学技术学院/网络空间安全学院

2016年6月29日