Global exponential convergence of neutral-type Hopfield neural networks with multi-proportional delays and leakage delays

Changjin Xu and Peiluan Li

Chaos, Solitons & Fractals, 2017, vol. 96, issue C, 139-144

Abstract: This paper is concerned with a class of neutral-type Hopfield neural networks with multi-proportional delays and leakage delays. Using the differential inequality theory, a set of sufficient conditions which guarantee that all solutions of neutral-type Hopfield neural networks with multi-proportional delays and leakage delays converge exponentially to zero vector are derived. Computer simulations are carried out to verify our theoretical findings. The obtained results of this paper are new and complement some previous studies.

Keywords: Neutral-type Hopfield neural networks; Exponential convergence; Leakage delay; Proportional delay (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:96:y:2017:i:c:p:139-144

DOI: 10.1016/j.chaos.2017.01.012

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