Title :
Stability for the Solution of a Class of Time-Delay Artificial Neural Networks
Author :
Wang, Ruliang ; Cheng, Hui ; Wang, Jin
Author_Institution :
Dept. of Inf. Technol., Guangxi Teachers´´ Univ., Nanning, China
Abstract :
In this paper, we consider a class of time-delay artificial neural networks and obtain practical criteria to test asymptotic stability of the equilibrium of the time-delay artificial neural networks. These criteria require verification of the definiteness of a certain matrix, or verification of a certain inequality. The applicability of our results is demonstrated by means of a specific example.
Keywords :
asymptotic stability; delays; matrix algebra; neural nets; asymptotic stability; matrix; time-delay artificial neural networks; Artificial neural networks; Asymptotic stability; Computer networks; Delay effects; Equations; Hopfield neural networks; Linear matrix inequalities; Neural networks; Neurons; Testing; artificial neural network; stability; time-delay;
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
DOI :
10.1109/WGEC.2009.130
