@Article{JICS-6-027,
author = {JunfengCui},
title = {Global Exponential Stability of Cellular Neural Network with Discrete and Distributed Delays},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {6},
number = {1},
pages = {027--034},
abstract = {This paper is concerned with analysis problem for the global exponential stability of a class of 
recurrent  neural  networks  (RNNs)  with  mixed  discrete  and  distributed  delays.  We  give  the  sufficient 
condition of global exponential stability of cellular neural network with mixed discrete and distributed delays 
by  employing  the  Lyapunov-Krasovskii  functional  and  Young  inequality,  in  addition,  the  example  is 
provided to illustrate the applicability of the result. 
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22692.html}
}