Continuous-time additive Hopfield-type neural networks with impulses

Haydar Akça; Rajai Alassar; Valéry Covachev; Zlatinka Covacheva; Eada Al-Zahrani

doi:10.1016/j.jmaa.2003.10.005

Continuous-time additive Hopfield-type neural networks with impulses

Haydar Akça^*, Rajai Alassar, Valéry Covachev, Zlatinka Covacheva, Eada Al-Zahrani

^*Corresponding author for this work

Department of Mathematics

Research output: Contribution to journal › Article › peer-review

193 Scopus citations

Abstract

We investigate the global stability characteristics of a system of equations modelling the dynamics of additive Hopfield-type neural networks with impulses in the continuous-time case.

Original language	English
Pages (from-to)	436-451
Number of pages	16
Journal	Journal of Mathematical Analysis and Applications
Volume	290
Issue number	2
DOIs	https://doi.org/10.1016/j.jmaa.2003.10.005
State	Published - 15 Feb 2004

Keywords

Additive Hopfield-type neural networks
Global stability
Impulsive equations

ASJC Scopus subject areas

Analysis
Applied Mathematics

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10.1016/j.jmaa.2003.10.005

Cite this

@article{1259c8fd04224d9a868ae688c428c8be,

title = "Continuous-time additive Hopfield-type neural networks with impulses",

abstract = "We investigate the global stability characteristics of a system of equations modelling the dynamics of additive Hopfield-type neural networks with impulses in the continuous-time case.",

keywords = "Additive Hopfield-type neural networks, Global stability, Impulsive equations",

author = "Haydar Ak{\c c}a and Rajai Alassar and Val{\'e}ry Covachev and Zlatinka Covacheva and Eada Al-Zahrani",

year = "2004",

month = feb,

day = "15",

doi = "10.1016/j.jmaa.2003.10.005",

language = "English",

volume = "290",

pages = "436--451",

journal = "Journal of Mathematical Analysis and Applications",

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T1 - Continuous-time additive Hopfield-type neural networks with impulses

AU - Akça, Haydar

AU - Alassar, Rajai

AU - Covachev, Valéry

AU - Covacheva, Zlatinka

AU - Al-Zahrani, Eada

PY - 2004/2/15

Y1 - 2004/2/15

N2 - We investigate the global stability characteristics of a system of equations modelling the dynamics of additive Hopfield-type neural networks with impulses in the continuous-time case.

AB - We investigate the global stability characteristics of a system of equations modelling the dynamics of additive Hopfield-type neural networks with impulses in the continuous-time case.

KW - Additive Hopfield-type neural networks

KW - Global stability

KW - Impulsive equations

UR - https://www.scopus.com/pages/publications/10744225331

U2 - 10.1016/j.jmaa.2003.10.005

DO - 10.1016/j.jmaa.2003.10.005

M3 - Article

AN - SCOPUS:10744225331

SN - 0022-247X

VL - 290

SP - 436

EP - 451

JO - Journal of Mathematical Analysis and Applications

JF - Journal of Mathematical Analysis and Applications

IS - 2

ER -

Continuous-time additive Hopfield-type neural networks with impulses

Abstract

Keywords

ASJC Scopus subject areas

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