Abstract
This paper is concerned with the mean square stability for stochastic delayed Hopfield neural networks with Markovian switching. The sufficient conditions to guarantee the exponential stability in mean square of an equilibrium solution are given. Moreover, we give the mean square stability of the numerical method. The result shows that the numerical method shares the stability of the true solution.
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Yang, H., Jiang, F., Liu, J. (2010). Mean Square Stability in the Numerical Simulation of Stochastic Delayed Hopfield Neural Networks with Markovian Switching. In: Zhang, L., Lu, BL., Kwok, J. (eds) Advances in Neural Networks - ISNN 2010. ISNN 2010. Lecture Notes in Computer Science, vol 6063. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13278-0_74
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DOI: https://doi.org/10.1007/978-3-642-13278-0_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13277-3
Online ISBN: 978-3-642-13278-0
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