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A class of neural networks with Mexican-hat-type activation functions are discussed in this paper. By differentiating the external inputs Ii (i = 1,2,…, n) into different four ranges, a set of new sufficient conditions are presented to study the multistability of systems. The obtained results improve and extend some recent works.
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...
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