Published August 15, 2009 | Version v1
Journal article

A neural network method for solving a system of linear variational inequalities

  • 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.2008.05.003

Additional 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.