Recurrent Project Neural Network for Solving Semidefinite Programming
In order to solve the Semidefinite Programming, this paper introduces the recurrent neural network model. By introducing the equivalent varialional 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.
semide/inite programming neural network variational inequality projection equation
Leifu Gao Changli Feng Haiyan Wei Xiaokai Chang
Institute of Mathematics and Systems Science College of Science, Liaoning Technical University Fuxin, China
国际会议
成都
英文
512-517
2010-07-07（万方平台首次上网日期，不代表论文的发表时间）