Solving Quadratic Programming Problems by Delayed Projection Neural Network
Yongqing Yang, Jinde Cao · IEEE Transactions on Neural Networks · 2006
In this letter, the delayed projection neural network for solving convex quadratic programming problems is proposed. The neural network is proved to be globally exponentially stable and can converge to an optimal solution of the optimization problem. Three examples show the effectiveness of the proposed network.