Abstract
This paper take into account multiple Mittag-Leffler stability of neural networks with non-monotonic piecewise linear activation functions. We have set up multiple sufficient conditions in order to find out 5n, and 3n equilibrium points of which is local Mittag-Leffler stability by making use of the related knowledge of fractional-order ordinary differential equations and fixed point theorem, non-smooth analysis knowledge. Fractional-order Cohen-Grossberg neural networks with non-monotonic linear activation functions possesses greater capacity than the ones with Mexican-hat-type activation function. A numerical example is manufactured to test and verify the authenticity of the theoretical results.
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