Title :
Uniformly Stability of Impulsive BAM Neural Networks with Delays
Author :
Yang, Fengjian ; Zhang, Chaolong ; Wu, Dongqing ; Hu, Xiaojian
Author_Institution :
Dept. of Comput. Sci., Zhongkai Univ. of Agric. & Technol., Guangzhou
Abstract :
This paper is concerned with the stability of the impulsive bidirectional associative memory (BAM) neural networks with time delays. By means of Lyapunov function and analysis technique, sufficient conditions are obtained for the existence and uniformly stability of a unique equilibrium solution without assuming the activation function to be bounded, monotonic or differentiable. This stability property is independent of the stability behavior of continuous-time BAM model since the impulses do contribution to system´s uniformly stability
Keywords :
Lyapunov methods; content-addressable storage; delays; neural nets; stability; Lyapunov function; continuous-time BAM model; impulsive bidirectional associative memory; system uniform stability; time delay; Associative memory; Chaos; Computer networks; Delay effects; Magnesium compounds; Neural networks; Neurons; Pattern recognition; Stability; Sufficient conditions;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.275
