Published September 20, 2004
| Version v1
Journal article
An analysis of periodic solutions of bi-directional associative memory networks with time-varying delays
Creators
- 1. Department of Mathematics, Southeast University, Nanjing 210096 (China)
- 2. Department of Mathematics, China Pharmaceutical University, Nanjing 210009 (China)
Description
In this Letter, several sufficient conditions are derived for the existence and uniqueness of periodic oscillatory solution for bi-directional associative memory (BAM) networks with time-varying delays by employing a new Lyapunov functional and an elementary inequality, and all other solutions of the BAM networks converge exponentially to the unique periodic solution. These criteria are presented in terms of system parameters and have important leading significance in the design and applications of periodic neural circuits for delayed BAM. As an illustration, two numerical examples are worked out using the results obtained
Additional details
Identifiers
- DOI
- 10.1016/j.physleta.2004.07.064;
- PII
- S0375-9601(04)01078-3;
Publishing Information
- Journal Title
- Physics Letters. A
- Journal Volume
- 330
- Journal Issue
- 3-4
- Journal Page Range
- p. 203-213
- ISSN
- 0375-9601
- CODEN
- PYLAAG
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 36054721
- Subject category
- S99: GENERAL AND MISCELLANEOUS;
- Descriptors DEI
- COMPUTER NETWORKS; CONVERGENCE; LYAPUNOV METHOD; MATHEMATICAL SOLUTIONS; MEMORY DEVICES; NETWORK ANALYSIS; NEURAL NETWORKS; PERIODICITY; TIME DELAY
- Descriptors DEC
- CALCULATION METHODS; VARIATIONS
Optional Information
- Copyright
- Copyright (c) 2004 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.