TY - JOUR
T1 - Stability of Delayed Markovian Switching Stochastic Neutral-Type Reaction-Diffusion Neural Networks
AU -  , Suriguga
AU - Shao , Chuntao
AU - Kao , Yonggui
JO - Journal of Nonlinear Modeling and Analysis
VL - 3
SP - 562
EP - 586
PY - 2022
DA - 2022/06
SN - 4
DO - http://doi.org/10.12150/jnma.2022.562
UR - https://global-sci.org/intro/article_detail/jnma/20725.html
KW - Markovian switching, Neutral-type, Neural network, Reaction-diffusion system.
AB - <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>