摘要
计算机网络最小平均迟延的求解实质上是一个联合优化问题。进一步的分析表明，它可以近似为一个二次型优化问题。我们利用一种具有全局收敛性质的神经网络模型解决了这一问题。计算结果表明，这种方法是可行而有效的。
The issue of computing minimum average delay of communication networks is essentially a combinatorial optimization problem. Further analysis shows that the problem approximates to a quadratic programming problem. In this paper we use a new neural network model featuring global convergence for its solution. The computing rusults demonstrate that the new method is capable and effective.
出处
《南京邮电学院学报》
北大核心
1994年第4期16-23,共8页
Journal of Nanjing University of Posts and Telecommunications(Natural Science)
关键词
计算机网络
神经网络
迟延算法
通信网
computer communication network, network delay, algorithm, neural network, quadratic programming
