Title :
The stability of delays BAM neural networks with Variable-time and poisson arrival impulses
Author :
Li, Zhongwen ; Li, Biwen ; Wu, Guang
Author_Institution :
Coll. of Mathematic & Statistic, Hubei Normal Univ., Huangshi, China
Abstract :
In this paper, we consider the globally stability of BAM neural networks with time delays and Random Variable-time Impulses (RVI). RVI denotes the impulses occurring follow Poisson Arrival in time, instead of fixed instants. Under this assumption, the time interval between two successive impulses follows exponential distribution with arrival rate. By simulation, we found that the system will be more stability as the arrival rate gets smaller. Numerical examples are also given to illustrate the effective of our results.
Keywords :
Poisson distribution; content-addressable storage; delays; exponential distribution; neural nets; stability; transient response; Poisson arrival impulses; bidirectional associative memory neural networks; delay BAM neural network stability; exponential distribution; random variable-time impulses; time delays; Asymptotic stability; Delay; Delay effects; Neural networks; Numerical stability; Stability criteria;
Conference_Titel :
Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-61284-374-2
DOI :
10.1109/IWACI.2011.6160026
