Title :
Global exponential stability of recurrent neural networks with distributed delays
Author :
Tong, Huan ; Fu, Chaojin ; Li, Dahu
Author_Institution :
Coll. of. Math. & Stat., Hubei Normal Univ., Huangshi, China
Abstract :
In this paper, based on differential inequality technique, we investigate global exponential stability of recurrent neural networks with distributed delays. Some sufficient conditions are derived which ensure the existence, uniqueness, global exponential stability of equilibrium point of the recurrent neural networks. Finally, an example is given to illustrate advantages of our approach.
Keywords :
asymptotic stability; delays; differential equations; recurrent neural nets; differential inequality technique; distributed delays; global exponential stability; recurrent neural networks; Asymptotic stability; Delay; Neurons; Recurrent neural networks; Stability criteria;
Conference_Titel :
Information Science and Technology (ICIST), 2012 International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-1-4577-0343-0
DOI :
10.1109/ICIST.2012.6221610
