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

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Continuous-time additive Hopfield-type neural networks with impulses

Journal article

Peer reviewed

Continuous-time additive Hopfield-type neural networks with impulses

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

Journal of mathematical analysis and applications, Vol.290(2), pp.436-451

15/02/2004

DOI: https://doi.org/10.1016/j.jmaa.2003.10.005

Abstract

Additive Hopfield-type neural networks

Global stability

Impulsive equations

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.

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Title: Continuous-time additive Hopfield-type neural networks with impulses
Creators - without role: Haydar Akça - King Fahd University of Petroleum and Minerals
Rajai Alassar - King Fahd University of Petroleum and Minerals
Valéry Covachev - Sultan Qaboos University
Zlatinka Covacheva - University of Telecommunications and Post
Eada Al-Zahrani - Science College for Girls, Department of Mathematics, Dammam, Saudi Arabia
Publication Details: Journal of mathematical analysis and applications, Vol.290(2), pp.436-451
Publisher: Elsevier Inc
Identifiers: 9915066108331
Academic Unit: Imam Abdulrahman Bin Faisal University; King Fahd University of Petroleum & Minerals
Language: English
Resource Type: Journal article