@Article{JNMA-4-562,
author = { , SurigugaShao , Chuntao and Kao , Yonggui},
title = {Stability of Delayed Markovian Switching Stochastic Neutral-Type Reaction-Diffusion Neural Networks},
journal = {Journal of Nonlinear Modeling and Analysis},
year = {2022},
volume = {4},
number = {3},
pages = {562--586},
abstract = {<p style="text-align: justify;">This paper is concerned about exponential stability in mean square
of Markovian switching delayed reaction-diffusion neutral-type stochastic neural networks (RNSNNs). By Lyapunov function method, several novel stability
criteria on exponential mean square stability of Markovian switching RNSNNs
with time-varying delays are obtained. In the end, two examples are given to
verify the feasibility of our findings.</p>},
issn = {2562-2862},
doi = {https://doi.org/10.12150/jnma.2022.562},
url = {http://global-sci.org/intro/article_detail/jnma/20725.html}
}