摘要
利用变参数方法和不等式技巧,研究了一类BAM神经网络的动力学特性,得到了能保证其平衡解唯一性和全局指数稳定性的条件,并且此条件与时滞无关.
The stability property of bidirectional associate memory （BAM） neural networks with timevarying delays and diffusion terms are considered. By using the method of variation parameter and inequality technique,the delay-independent sufficient conditions to guarantee the uniqueness and global exponential stability of the equilibrium solution of such networks are established.
出处
《肇庆学院学报》
2009年第2期8-11,共4页
Journal of Zhaoqing University
基金
肇庆学院青年科学研究基金资助项目(0825)
关键词
双边联想记忆
指数稳定
变时滞
耗散
bidirectional associate memory
exponential stability
time-varying delay
diffusion
