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Dynamics of fractional-order neural networks with discrete and distributed delays
2019
IEEE Access
This paper is concerned with the stability and Hopf bifurcation of fractional-order neural networks with discrete and distributed delays. The novelty of this paper is to take into account the discrete time delay and the distributed time delay for fractional-order systems. By introducing two virtual neurons to the original network, a new four-neuron network only involving discrete delays is formed. The sum of discrete delays is adopted as the bifurcation parameter to demonstrate the existence of
doi:10.1109/access.2019.2946790
fatcat:jievokmqrbewjmnq4lldfi473i