ABR flow control in ATM networks based on neural networks

被引：0

作者：

Zhang, W. ^{[1
]}

Feng, S. ^{[1
]}

Pei, H. ^{[1
]}

Ye, W. ^{[1
]}

机构：

[1] Dept. of Automatic Control Eng., South China Univ. of Tech., Guangzhou 510640, China

来源：

Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science) | 2001年 / 29卷 / 07期

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摘要：

In this paper, we present a novel neural networks approach to ABR flow control in ATM networks and propose a feedback flow control algorithm based on the RBF-ANN model, which is an on-line learning ANN model and can modify the ANN model parameters to adapt the change of source rates and congestion. The results of the simulation suggest that our approach performs better than traditional static feedback control both on resource utilization and cell loss ratio.

引用

页码：51 / 54