Proceedings of the 3rd International Conference on Computer Science and Service System

Delayed projection neural network for solving degenerate quadratic program

Authors
Yong Yang, Jing-wen Zhang
Corresponding Author
Yong Yang
Available Online June 2014.
DOI
10.2991/csss-14.2014.92How to use a DOI?
Keywords
delayed neural networks; projection equation; quadratic optimization;global exponential stability; optimal solution
Abstract

A delayed projection neural network model is presented for solving degenerate quadratic programming problem with general linear constraints. By constructing suitable Lyapunov functions, the proposed neural network is proved to be global convergent to the equilibrium points set. Compared with the existing neural networks for solving strict convex quadratic program, the proposed delayed neural network for solving degenerate convex quadratic program has wider domain for implementation. The transient behavior of the neural network is simulated and the validity of the result obtained in this paper is verified with an illustrative example.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Computer Science and Service System
Series
Advances in Intelligent Systems Research
Publication Date
June 2014
ISBN
978-94-6252-012-7
ISSN
1951-6851
DOI
10.2991/csss-14.2014.92How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yong Yang
AU  - Jing-wen Zhang
PY  - 2014/06
DA  - 2014/06
TI  - Delayed projection neural network for solving degenerate quadratic program
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 390
EP  - 393
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.92
DO  - 10.2991/csss-14.2014.92
ID  - Yang2014/06
ER  -