文献类型：会议论文

英文题名：Bifurcation of a Class of Discrete-time Neural Networks

作者：Zhou, Xiaoliang[1,2];Gao, Xueliang[2]

机构：[1]Guangdong Ocean Univ, Dept Math, Zhanjiang 524088, Guangdong, Peoples R China;[2]Sichuan Univ, Dept Mat, Chengdu 610064, Peoples R China

会议论文集：IEEE International Conference on Cybernetic Intelligent Systems (CIS 2008)

会议日期：SEP 21-24, 2008

会议地点：Chengdu, PEOPLES R CHINA

语种：英文

外文关键词：Discrete time control systems - Neural networks - Bifurcation (mathematics)

外文摘要：In this paper, a class of discrete-time system modeling a network with two neurons is considered. Its flip bifurcations (also called period-doubling bifurcations for map) are demonstrated by deriving the equation describing the How on the center manifold. In particular, the explicit formula for determining the direction and the stability of flip bifurcations are obtained. The theoretical analysis is verified by numerical simulations.