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Neural Processing Letters

, Volume 50, Issue 2, pp 1241–1256 | Cite as

On Finite-Time Stability for Fractional-Order Neural Networks with Proportional Delays

  • Changjin XuEmail author
  • Peiluan Li
Article

Abstract

This paper is concerned with fractional-order neural networks with proportional delays. Applying inequality technique, some sufficient criteria which ensure the stability of such fractional-order neural networks with proportional delays over a finite-time interval are established. Computer simulations are carried out to illustrate our theoretical predictions. The derived results of this paper are new and complement some earlier ones.

Keywords

Neural networks Finite-time stability Proportional delay Fractional order 

Notes

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Guizhou Key Laboratory of Economics System SimulationGuizhou University of Finance and EconomicsGuiyangPeople’s Republic of China
  2. 2.School of Mathematics and StatisticsHenan University of Science and TechnologyLuoyangPeople’s Republic of China

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