Delayed projection neural network for solving degenerate quadratic program

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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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  -