Home > Academic Announcements > (Apr. 3) Anti-periodic solutions for interval general bidirectional associative memory neural networks with multiple delays

(Apr. 3) Anti-periodic solutions for interval general bidirectional associative memory neural networks with multiple delays

Last updated :2018-03-30

Topic: Anti-periodic solutions for interval general bidirectional associative memory neural networks with multiple delays
Speaker: Associate Professor Xiaofei Li
(Yangtze University)
Time: 3:00-4:00 pm, Tuesday, April 3, 2018
Venue: Room 415, New Mathematics Building, Guangzhou South Campus, SYSU

Abstract:
In this report, we will consider a class of interval general bidirectional associative memory (BAM) neural networks with multiple delays. Based on the fundamental solution matrix of coefficients, inequality technique and Lyapunov method, we derive a series of sufficient conditions to ensure the existence and exponential stability of anti-periodic solutions of the neural networks with multiple delays. Finally, we will give some introduction of stochastic BAM neural networks.