Title :
Existence of Periodic Solution for Hopfield Cellular Neural Networks
Author :
Li, Yanling ; Liu, Anping ; Zhang, Linli ; Hao, Zutao
Author_Institution :
Coll. of Comput. Sci., Civil Aviation Flight Univ. of China, Guanghan, 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 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 Hopfield cellular neural networks are considered. Some new results are obtained.
Keywords :
Hopfield neural nets; cellular neural nets; iterative methods; Hopfield cellular neural network; iterative analysis; periodic solution; Biology; Cells (biology); Cellular neural networks; Computer science; Image processing; Intelligent networks; Intelligent systems; Iterative methods; Mathematics; Physics; Existence; Hopfield Cellular Neural Networks; Periodic Solution; delay;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.134
