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- W2059162909 abstract "In this paper, we are concerned with a class of neural networks with Mexican-hat-type activation functions. Due to the different structure from neural networks with saturated activation functions, a set of new sufficient conditions are presented to study the multistability, including the total number of equilibrium points, their locations, and stability. Furthermore, the attraction basins of stable equilibrium points are investigated for two-neuron neural networks. The investigation shows that the stable manifolds of unstable equilibrium points constitute the boundaries of attraction basins of stable equilibrium points. Several illustrative examples are given to verify the effectiveness of our results." @default.
- W2059162909 created "2016-06-24" @default.
- W2059162909 creator A5023492006 @default.
- W2059162909 creator A5062509066 @default.
- W2059162909 date "2012-11-01" @default.
- W2059162909 modified "2023-09-27" @default.
- W2059162909 title "Multistability of Neural Networks With Mexican-Hat-Type Activation Functions" @default.
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- W2059162909 doi "https://doi.org/10.1109/tnnls.2012.2210732" @default.
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