Title :
Exponential periodicity of neural networks with delays
Author :
Sun, Changvin ; Sun, Changgui ; Feng, Chun-Bo
Author_Institution :
Res. Inst. of Autom., Southeast Univ., Nanjing, China
Abstract :
In this paper, exponential periodicity of neural networks with delays is proposed. Without assuming the boundedness, monotonicity and differentiability of the activation functions, some new sufficient conditions ensuring existence and uniqueness of periodic solution for a general class of neural networks with delays are obtained. This work gives some improvements to the previous ones.
Keywords :
asymptotic stability; delays; neural nets; transfer functions; activation functions; delays; equilibrium point; exponential periodicity; neural networks; Associative memory; Automation; Cellular neural networks; Convergence; Delay effects; Neural networks; Pattern recognition; Stability analysis; Sufficient conditions; Sun;
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
DOI :
10.1109/ISCAS.2003.1206404
