Published August 15, 2009
| Version v1
Journal article
A neural network method for solving a system of linear variational inequalities
Creators
- 1. Department of Mathematics, Sichuan University of Science and Engineering, Zigong, Sichuan 643000 (China)
- 2. Material and Chemical Engineering Department, Sichuan University of Sciences and Engineering, Zigong, Sichuan 643000 (China)
Description
In this paper, we transmute the solution for a new system of linear variational inequalities to an equilibrium point of neural networks, and by using analytic technique, some sufficient conditions are presented. Further, the estimation of the exponential convergence rates of the neural networks is investigated. The new and useful results obtained in this paper generalize and improve the corresponding results of recent works.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.chaos.2008.05.003Additional details
Identifiers
- DOI
- 10.1016/j.chaos.2008.05.003;
- PII
- S0960-0779(08)00245-2;
Publishing Information
- Journal Title
- Chaos, Solitons and Fractals
- Journal Volume
- 41
- Journal Issue
- 3
- Journal Page Range
- p. 1245-1252
- ISSN
- 0960-0779
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 41014442
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- CONVERGENCE; EQUILIBRIUM; MATHEMATICAL SOLUTIONS; NEURAL NETWORKS; VARIATIONAL METHODS
- Descriptors DEC
- CALCULATION METHODS
Optional Information
- Copyright
- Copyright (c) 2008 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.