Delayed projection neural network for solving degenerate quadratic program
- 10.2991/csss-14.2014.92How to use a DOI?
- delayed neural networks; projection equation; quadratic optimization;global exponential stability; optimal solution
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.
- © 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 -