Title :
Existence of Periodic Solution for Impulsive Cellular Neural Networks
Author :
Xiao, Li ; Liu, Anping ; Zhang, Linli ; Tang, Qing
Author_Institution :
Sch. of Math. & Phys., China Univ. of Geosci., Wuhan
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 interesting results about the existence for cellular neural networks have been obtained. In this paper, by means of iterative analysis, the existence of periodic solution for cellular neural networks with impulsive effects are considered. Some new results are obtained.
Keywords :
cellular neural nets; iterative methods; biology problem; engineering problem; image processing; impulsive cellular neural network; iterative analysis; periodic solution; Biology; Cells (biology); Cellular neural networks; Computer networks; Geology; Image processing; Mathematics; Neural networks; Physics computing; Statistics; cellular neural networks; existence; iterative analysis; periodic solution;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.928