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author:

Xia, Yonghui (Xia, Yonghui.) [1] | Cao, Jinde (Cao, Jinde.) [2] | Lin, Muren (Lin, Muren.) [3]

Indexed by:

EI Scopus SCIE

Abstract:

Sufficient conditions are obtained for the existence and global exponential stability of a unique periodic solution of a class of impulsive tow-neuron networks with variable and unbounded delays. The approaches are based on Mawhin's continuation theorem of coincidence degree theory and Lyapunov functions.

Keyword:

exponential stability impulsive neural network periodic solutions

Community:

  • [ 1 ] Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350002, Peoples R China
  • [ 2 ] SE Univ, Dept Math, Nanjing 210096, Peoples R China

Reprint 's Address:

  • 夏永辉

    [Xia, Yonghui]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350002, Peoples R China

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Source :

INTERNATIONAL JOURNAL OF NEURAL SYSTEMS

ISSN: 0129-0657

Year: 2007

Issue: 1

Volume: 17

Page: 35-42

0 . 4 8 8

JCR@2007

6 . 6 0 0

JCR@2023

ESI Discipline: COMPUTER SCIENCE;

JCR Journal Grade:4

Cited Count:

WoS CC Cited Count: 5

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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