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Parametric Stabilization of the Ring and Linear Neural Network with Two Delays

DOI: 10.4236/jamp.2021.97099, PP. 1468-1482

Keywords: Neural Network, Time Delay, Exponential Polynomial, Linear and Ring Neural Configuration, Stability

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Abstract:

This paper is devoted to the problem of stabilizing a Hopfield-type neural network with bi-directional ring architecture and two delays. The delay-independent and delay-dependent stability conditions are explicitly presented by the method of the characteristic roots and the skill of mathematical analysis. Moreover, if a link between the adjacent two neurons is cut, the ring neural network turns to a linear one, and the stability results are also established. Furthermore, a comparative analysis for the ring and linear network shows that the stability domain is enlarged after the breaking.

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