组播路由调度的神经网络方法

本文探讨了在高速包交换计算机网络中，具有端到端时延及时延抖动限制的组播路由问题。首先给出了此类问题的网络模型及其数学描述，然后提出了基于Ｈｏｐｆｉｅｌｄ神经网络的组播路由优化算法。实验表明，本算法能根据组播应用对时延的要求，快速、有效地构造最优组播树，有较强的实时性。

Multicast Routing Based Neural Networks

This paper studies the problem of multicast routing with end to end delay and delay variation constraints in high speed packet switched networks. The paper first discusses multicast network model and its mathematical model, and then presents a new algorithm based on Hopfield neural networks which are used to optimize the multicast tree with delay and variation constraints. From the simulation results, it can be concluded that the proposed algorithm is both efficient and effective in constructing constrained minimum Steiner tree to meet the quality of service requiremnents in high speed networks.