A new set of sufficient conditions based on coupling parameters for synchronization of Hopfield like Chaotic Neural Networks |
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Authors: | Nariman Mahdavi Mohammad Bagher Menhaj |
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Affiliation: | 1.Nariman Mahdavi and Mohammad Bagher Menhaj are with the Electrical Engineering Department,Amirkabir University of Technology,Tehran,Iran |
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Abstract: | In this paper, we consider a Hopfield like Chaotic Neural Networks which have both self-coupling and non-invertible activation
functions. We show that the interactions between neurons can be used as a means of chaos generation or suppression to neuron’s
outputs when more adaptability or stability is required. Furthermore, a new set of sufficient conditions based on coupling
weights is proposed so that the synchronization of all neuron’s outputs with each other is guaranteed, when all neuron’s have
identical activation functions. Finally, the effectiveness of the proposed approach is evaluated by performing simulations
on three illustrative examples. |
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Keywords: | |
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