Global Exponential Stability of Neural Network Models with Delayed Projection Neural Network for Quadratic Programming Problems

In this paper, the authors study quadratic programming problems, and present a novel delayed projection neural network model for solving them.By the theory of functional diferential equation, the existence and uniqueness of the solution of the new model are proved, some sufficient conditions ensuring the global exponential stability of the proposed delayed projection neural network are given. So it can be used to solve a series of constraint optimization problems for the quadratic programming issues.