Title :
Dynamic Analysis of Coupled Binary Stripe CNNs
Author :
Zhang, Qun ; Min, Lequan
Author_Institution :
Sch. of Autom., Univ. of Sci. & Technol. Beijing, Beijing, China
Abstract :
The robust designs for cellular neural network (CNN) templates is one of the important issues for the practical applications of CNNs. This paper establishes 6 theorems for describe the performance of coupled binary stripe (CBS) CNNs. The theorems interpret why the CBS CNNs can generate always striped patterns from any random binary initial patterns. Three examples are presented to illustrate the effectiveness of the methodology.
Keywords :
cellular neural nets; cellular neural network templates; coupled binary stripe; random binary initial patterns; Arrays; Cellular neural networks; Educational institutions; Image edge detection; Numerical simulation; Passive networks; Robustness; Cellular neural network; numerical simulation; random binary input; striped pattern output;
Conference_Titel :
Intelligent Computation and Bio-Medical Instrumentation (ICBMI), 2011 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4577-1152-7
DOI :
10.1109/ICBMI.2011.56
