基于暂态混沌神经网络的组播路由算法
A Multicast Routing Algorithm Based on Transient Chaotic Neural Networks
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摘要: 讨论了高速包交换计算机网络中具有端到端时延的组播路由问题 首先给出了这类问题的网络模型及其数学描述 ,然后提出了基于暂态混沌神经网络的组播路由算法 实验结果表明 ,该算法能够快速有效地实现组播路由优化 ,并且计算性能及解的质量优于基于Hopfield神经网络的路由算法Abstract: The problem of multicast routing with end to end delay constraints in high speed packet switched networks is studied A multicast network model and its mathematical model are discussed, and then a new algorithm based on transient chaotic neural networks is proposed The results show the proposed algorithm is both fast and effective to achieve multicast routing, and more optimal in both computational performance and the quality of solution than that based on Hopfield neural networks
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