DocumentCode :
2318901
Title :
Global exponential stability of a class of BAM neural networks with distributed delays
Author :
Fu, Chaojin ; Liu, Wei ; Yang, Meng
Author_Institution :
Coll. of Math. & Stat., Hubei Normal Univ., Huangshi, China
fYear :
2010
fDate :
25-27 Aug. 2010
Firstpage :
11
Lastpage :
15
Abstract :
Based on contraction mapping principle, inequality technique, global exponential stability of a class of BAM neural networks with distributed delays is considered. Some sufficient conditions are derived which ensure the existence, uniqueness, global exponential stability of equilibrium points of the neural networks. Finally, the obtained results are demonstrated with a numerical example.
Keywords :
asymptotic stability; delays; recurrent neural nets; BAM neural networks; contraction mapping principle; distributed delays; global exponential stability; Artificial neural networks; Asymptotic stability; Delay; Neurons; Numerical stability; Stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computational Intelligence (IWACI), 2010 Third International Workshop on
Conference_Location :
Suzhou, Jiangsu
Print_ISBN :
978-1-4244-6334-3
Type :
conf
DOI :
10.1109/IWACI.2010.5585233
Filename :
5585233
Link To Document :
بازگشت