DocumentCode
2575894
Title
Global exponential stability of periodic solution of BAM neural networks with impulsive and delay
Author
Zhang, Chaolong ; Yang, Fengjian ; Li, Wei ; Wu, Dongqing
Author_Institution
Dept. of Comput. Sci., Zhongkai Univ. of Agric. & Eng., Guangzhou, China
Volume
2
fYear
2010
fDate
28-31 Aug. 2010
Firstpage
649
Lastpage
651
Abstract
By using the method of variation of constants and the contraction mapping principle in Banach spaces, a model for bidirectional associative memory with impulsive and delay is studied. Global exponential stability of periodic solution for this model is obtained.
Keywords
Banach spaces; asymptotic stability; recurrent neural nets; variational techniques; BAM neural networks; Banach spaces; bidirectional associative memory; constant variation; contraction mapping principle; global exponential stability; periodic solution; Biomedical imaging; Impulsive; Lyapunov function; Neural networks; globally exponentially stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-8514-7
Type
conf
DOI
10.1109/IITA-GRS.2010.5602319
Filename
5602319
Link To Document