Title :
Global exponential stability of a class of BAM neural networks with delays
Author :
Fu, Chaojin ; Liu, Wei ; Yang, Meng
Author_Institution :
Coll. of Math. & Stat., Hubei Normal Univ., Huangshi, China
Abstract :
By means of contraction mapping principle, inequality technique, global exponential stability of a class of BAM networks with delays is considered. Some sufficient conditions are obtained which ensure the existence, uniqueness, global exponential stability of equilibrium point of the networks. Finally, a numerical example is discussed in this paper to illustrate advantage of the results we derived.
Keywords :
Lyapunov methods; asymptotic stability; delays; recurrent neural nets; BAM neural network class; bidirectional associative memory; contraction mapping; delays; global exponential stability; inequality technique; Artificial neural networks; Associative memory; Asymptotic stability; Circuit stability; Delay; Stability criteria; BAM neural networks; Delays; Global exponential stability;
Conference_Titel :
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7387-8
DOI :
10.1109/ESIAT.2010.5568550
