Stochastic global exponential stability of neutral-type impulsive neural networks with both Markovian Jumping and mixed time delays

The problem of stochastic global exponential stability for neural networks of neutral-type impulsive with both Markovian Jumping and mixed time delays is studied in this paper. By using stochastic analysis approach and Lyapunov-Krasovskii method, a sufficient condition under which the neural networks of neutral-type impulsive with both time delays and Markovian Jumping is obtained. To illustrate the effectiveness of the result proposed in this paper, a numerical example is given.