Abstract
In this paper, the global exponential stability of the Hopfield neural network with delay is studied. By using of the methods of constant variation and variable substitution, a new sufficient global exponential stable criterion for the equilibrium point of the network is derived. The result is different to the known references and is realizable easily.
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Liu, X., Yuan, K. (2010). Global Exponential Stability of Equilibrium Point of Hopfield Neural Network with Delay. 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_70
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DOI: https://doi.org/10.1007/978-3-642-13278-0_70
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13277-3
Online ISBN: 978-3-642-13278-0
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