摘要
考虑了广义二次规划问题 ,基于其鞍点的充要条件 ,提出了求解它的一个神经网络 .运用Lya punov稳定性理论与LaSalle不变原理证明了该网络是稳定的 ,并且收敛于一个精确解 .模拟实验表明新模型不仅是有效的 ,而且非常可靠 .
This paper considers the extended quadratic programming problem. Based on the necessary and sufficient conditions for a saddle point, a neural network for solving it is proposed. It is strictly proved to be stable and convergent to an exact solution by the Lyapunov stability theory and the LaSalle invariance principle. The feasibility and efficiency of the proposed network are confirmed by numerical experiments.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2001年第1期75-78,共4页
Journal of Xidian University
基金
国家自然科学基金资助项目! (10 0 710 48)
关键词
广义二次规划
神经网络
稳定性
收剑性
extended quadratic programming
saddle point
neural network
stability
convergence