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author:

Xia, Yonghui (Xia, Yonghui.) [1] | Huang, Zhenkun (Huang, Zhenkun.) [2] | Han, Maoan (Han, Maoan.) [3]

Indexed by:

EI Scopus

Abstract:

An impulsive Cohen-Grossberg-type bidirectional associative memory (BAM) neural networks with distributed delays is studied. Some new sufficient conditions are established for the existence and global exponential stability of a unique equilibrium without strict conditions imposed on self regulation functions. The approaches are based on Laypunov-Kravsovskii functional and homeomorphism theory. When our results are applied to the BAM neural networks, our results generalize some previously known results. It is believed that these results are significant and useful for the design and applications of Cohen-Grossberg-type bidirectional associative memory networks. © 2007 Elsevier Ltd. All rights reserved.

Keyword:

Associative processing Asymptotic stability Data storage equipment Lyapunov functions Neural networks Perturbation techniques

Community:

  • [ 1 ] [Xia, Yonghui]The Institute of Mathematics, Shanghai Normal University, Shanghai, 200234, China
  • [ 2 ] [Xia, Yonghui]College of Mathematics and Computer Science, Fuzhou University, Fujian 350002, China
  • [ 3 ] [Huang, Zhenkun]School of Sciences, Jimei University, Xiamen, Fujian 361021, China
  • [ 4 ] [Han, Maoan]The Institute of Mathematics, Shanghai Normal University, Shanghai, 200234, China

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Source :

Chaos, Solitons and Fractals

ISSN: 0960-0779

Year: 2008

Issue: 3

Volume: 38

Page: 806-818

2 . 9 8

JCR@2008

5 . 3 0 0

JCR@2023

ESI Discipline: PHYSICS;

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 54

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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