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Stability of Delayed Markovian Switching Stochastic Neutral-type Reaction-diffusion Neural Networks
  
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KeyWord:Markovian switching; Neutral-type; Neural network; Reaction-diffusion system
Author NameAffiliation
Suriguga Department of Mathematics, Harbin Institute of Technology (Weihai), Weihai, Shandong 264209, China 
Chuntao Shao Department of Control Science and Engineering, Harbin Institute of Technology (Weihai), Shandong 264209, China 
Yonggui Kao Department of Mathematics, Harbin Institute of Technology (Weihai), Weihai, Shandong 264209, China 
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Abstract:
      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.