摘要
本文针对文献[1]中非线性规划神经网络的缺点,提出一种新的非线性规划神经网络.在文中,我们分析了网络的收敛性和稳定性,并给出其电路实现.仿真结果证明了该神经网络能有效地求解非线性规划问题.
In this paper, a novel class of neural networks for nonlinear programming is presented to overcome the deficiences in [1]. The convergence and stability of these ed networks are analyzed,and the implementaion of their cirouits is discussed. Simulation demonstrates tha these neural networks can detively solvnonlinear programming problems.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1998年第1期24-28,共5页
Acta Electronica Sinica
关键词
非线性规划
LAGRANGE乘子
神经网络
Nonlinear pmgramming, Lagrange multipler,Neural network,Lyapunov function