文献类型：会议论文

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

作者：Yu, Rong[1];Zhou, Xiaoliang[2]

机构：[1]Shanxi Forestry Vocat Technol Coll, Taiyuan 030009, Shanxi, Peoples R China;[2]Guangdong Ocean Univ, Dept Math, Zhanjiang 524088, Guangdong, Peoples R China

会议论文集：1st WRI Global Congress on Intelligent Systems (GCIS 2009)

会议日期：MAY 19-21, 2009

会议地点：Xiamen, PEOPLES R CHINA

语种：英文

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

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