Global Synchronization in Finite-time of Fractional-order Complexvalued Delayed Hopfield Neural Networks
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This paper deals with the synchronization issue of fractional-order complex-valued Hopfield neural networks with time delay. In this paper, by means of properties of the fractional-order inequality, such as Hölder inequality and Gronwall inequality, sufficient conditions are presented to guarantee the finite-time synchronization of the fractional-order complex-valued delayed neural networks when 1/2 ≤ γ < 1 and 0 < γ < 1/2. Finally, two numerical simulations are provided to show the effectiveness of the obtained results.
KeywordsComplex-valued neural networks finite-time synchronization fractional-order inequality time delay
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