摘要
基于射影方法 ,给出了求解一类变分不等式问题的一个神经网络 .该模型结构简单 ,并能全局一致渐近稳定地收敛于原问题的精确解 .最后将该网络应用于最小距离问题 ,并作了模拟实验 ,结果表明该模型是可行的和有效的 .
Based on the projection method, this paper proposes a neural network for solving a class of variational inequalities. Its structure is very simple. It can be guaranteed to be convergent globally, unifomly, asymptotically stably to the exact solution of original problems. Finally, an application of the network to the least distance problem is given, and its feasibility and efficiency are confirmed by numerical experiments.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2000年第6期764-767,共4页
Journal of Xidian University
基金
国家自然科学基金资助项目!(1970 10 2 0 )
关键词
变分不等式
神经网络
全局稳定性
解
variational inequalities
neural network
global stability
