Published January 7, 2008
| Version v1
Journal article
New convergence behavior of solutions to Cohen-Grossberg neural networks with delays and time-varying coefficients
Creators
- 1. Department of Mathematics, Hunan University of Arts and Science, Changde, Hunan 415000 (China)
Description
In this Letter the convergence behavior of Cohen-Grossberg neural networks with delays and time-varying coefficients are considered. Some sufficient conditions are established to ensure that the solutions of the networks converge locally exponentially to zero point, which are new and complement of previously known results
Availability note (English)
Available from http://dx.doi.org/10.1016/j.physleta.2007.09.066Additional details
Identifiers
- DOI
- 10.1016/j.physleta.2007.09.066;
- PII
- S0375-9601(07)01356-4;
Publishing Information
- Journal Title
- Physics Letters. A
- Journal Volume
- 372
- Journal Issue
- 2
- Journal Page Range
- p. 117-123
- ISSN
- 0375-9601
- CODEN
- PYLAAG
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 39085464
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- COMPLEMENT; CONVERGENCE; MATHEMATICAL SOLUTIONS; NETWORK ANALYSIS; NEURAL NETWORKS; TIME DELAY
- Descriptors DEC
- ORGANIC COMPOUNDS; PROTEINS
Optional Information
- Copyright
- Copyright (c) 2007 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.