华侨大学学报（自然科学版）2013，Vol.34Issue(2)：230-235,6.
求解一类新的二次规划问题的时滞投影神经网络方法
A Delayed Projection Neural Network for Solving a New Quadratic Programming Problems
摘要
Abstract
In this paper, we studied the stability of the optimal solution of a new quadratic programming problem which is the promotion of the convex quadratic programming. We give the sufficient condition to determine the stability of the e-quilibrium point and propose a delayed projection neural network to solve this quadratic programming. By constructing a suitable Lyapunov function, the proposed neural network is proved to be globally stable. Simulation results with some applications show the efficient of the proposed neural network.关键词
亚正定矩阵/全局稳定/时滞投影/李雅普诺夫函数/最优解Key words
subdefinite matrices/ globally stable/ delayed projection/ lyapunov function/ optimal solution分类
数理科学引用本文复制引用
刘德友,牛九肖..求解一类新的二次规划问题的时滞投影神经网络方法[J].华侨大学学报（自然科学版）,2013,34(2):230-235,6.基金项目
国家自然科学基金资助项目(71071133) （71071133）
