具有变时滞的神经型Hopfield神经网络的全局吸引子研究

Abstract

Abstract:

This paper deals with the asymptotic properties of a class of nonlinear and nonautonomous neutral type Hopfield neural networks with time-varying delays. By applying the property of nonnegative matrix and an integral inequality, some sufficient conditions are derived to ensure the existence of the global attracting set and the stability in a Lagrange sense for the considered system. Finally, an example is given to demonstrate the effectiveness of our theoretical result.

Key words: Neutral-type Hopfield neural networks, Time-varying delays, Lagrange stability, Global attracting set, Integral inequality

CLC Number:

O193

Qinghua Zhou,Li Wan,Jie Liu. Global Attracting Set for Neutral Type Hopfield Neural Networks with Time-Varying Delays[J].Acta mathematica scientia,Series A, 2019, 39(4): 823-831.

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References 37

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Global Attracting Set for Neutral Type Hopfield Neural Networks with Time-Varying Delays

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