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基于T-S模糊神经网络的ATM网络拥塞控制
Congestion control in ATM networks using T-S fuzzy neural network
【摘要】 本文充分考虑了模糊神经网络的学习功能,提出了利用T-S模糊神经网络算法对ATM网络进行拥塞控制的方案。仿真结果表明,该方法改善了网络对拥塞的实时处理能力,又增加了网络资源的利用率。
【Abstract】 This paper concerns about the learning function of the fuzzy neural network. Based on T-S fuzzy neural network algorithm, a novel congestion control scheme for ATM networks is presented. The simulation results show that this method can improve the congestion processing capability in real time and raise the utilization of the network resources in the meanwhile.
【关键词】 ATM网络;
模糊神经网络;
拥塞控制;
信元丢失率;
【Key words】 ATM networks; fuzzy neural network; congestion control; cell loss ratio;
【Key words】 ATM networks; fuzzy neural network; congestion control; cell loss ratio;
【基金】 国家自然科学基金资助项目(60174021);天津市自然科学重点基金资助项目(013800711)
- 【文献出处】 通信学报 ,Journal of China Institute of Communications , 编辑部邮箱 ,2002年08期
- 【分类号】TN915.2
- 【被引频次】11
- 【下载频次】141