Title :
Notice of Retraction
Recurrent Project Neural Network for solving Semidefinite Programming
Author :
Leifu Gao ; Changli Feng ; Haiyan Wei ; Xiaokai Chang
Author_Institution :
Inst. of Math. & Syst. Sci., Liaoning Tech. Univ., Fuxin, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In order to solve the Semidefinite Programming, this paper introduces the recurrent neural network model. By introducing the equivalent variational inequality problem and the neural network which has the same solution with the variational inequality, the model converges to the solution of semidefinite programming. At the same time, numerical simulation also proves it very well. In short, neural network is an effective way to solve semidefinite programming, so as to provide a viable option for engineering.
Keywords :
numerical analysis; recurrent neural nets; variational techniques; numerical simulation; recurrent neural network model; semidefinite programming; variational inequality problem; Equations; Mathematical model; Stability analysis; neural network; projection equation; semidefinite programming; variational inequality;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5563770
