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- W2894411297 abstract "In this paper, we explore the coexistence and dynamical behaviors of multiple equilibrium points for fractional-order competitive neural networks with Gaussian activation functions. By virtue of the geometrical properties of activation functions, the fixed point theorem and the theory of fractional-order differential equation, some sufficient conditions are established to guarantee that such n-neuron neural networks have exactly 3k equilibrium points with 0≤k≤n, among which 2k equilibrium points are locally Mittag-Leffler stable. The obtained results cover both multistability and mono-stability of fractional-order neural networks and integer-order neural networks. Two illustrative examples with their computer simulations are presented to verify the theoretical analysis." @default.
- W2894411297 created "2018-10-05" @default.
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- W2894411297 date "2018-12-01" @default.
- W2894411297 modified "2023-10-18" @default.
- W2894411297 title "Multiple Mittag-Leffler stability of fractional-order competitive neural networks with Gaussian activation functions" @default.
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- W2894411297 doi "https://doi.org/10.1016/j.neunet.2018.09.005" @default.
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