摘要
本文提出一种二维神经网络模型,并将它用来实时求解一类矩阵方程.理论和模拟结果表明,该网络可以在时常数数量级(纳秒)内求出与准确解任意接近的解.
This paper presents a 2-D neural network model with the applications in solving a class of matrix equations. We show both by analysis and by simulations that this network is guaranteed to provide the results arbitrarily close to the accurate ones within a few of the time constants of this network.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1992年第10期33-38,共6页
Acta Electronica Sinica
基金
国家自然科学基金(No.69072908)
高校博士学科点专项科研基金(No.9070103)资助课题
关键词
神经网络
矩阵方程
网络模型
Neural network, Matrix equation, Optimization
