Title :
Stability and Existence of Periodic Solution for Impulsive Cellular Neural Networks
Author :
Liu, Ting ; Ma, Qingxia ; Cao, Shaochen ; Liu, Anping
Author_Institution :
Sch. of Math. & Phys., China Univ. of Geosci., Wuhan, China
Abstract :
As an important tool to study practical problems of biology, engineering and image processing, the cellular neural networks (CNNs) has caused more and more attention. Some useful and interesting results about the existence of periodic solution for cellular neural networks have been obtained. In this paper, by means of iterative analysis, the existence and stability of periodic solution for cellular neural networks with impulsive effects are considered. Some new results are obtained.
Keywords :
cellular neural nets; image processing; iterative methods; stability; biology; engineering; image processing; impulsive cellular neural networks; iterative analysis; stability existence periodic solution; study practical problems; Artificial intelligence; Biology; Cells (biology); Cellular neural networks; Computational intelligence; Geology; Image processing; Iterative methods; Mathematics; Stability; cellular neural networks; existence; impulsive effects; iterative analysis; stability;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.381
