摘要
对网络拥塞控制中的重要参数RTT进行了研究,在Matlab环境下,利用神经网络对实测RTT数据进行学习训练,建立了一个RTT智能预测模型,可对RTT进行短期预测。实验结果表明,用神经网络对RTT进行短期预测可以得到较为理想的结果。
The important parameter RTT in network congestion is researched. In the Matlab environment, after the tested RTT being studied and trained, the intelligent predicable model is established to predict RTT in the short term by using the neural network. The experiment shows that using of neural network to predict RTT can gain quite ideal result.
出处
《天津工程师范学院学报》
2007年第1期34-36,共3页
Journal of Tianji University of Technology and Education
基金
天津科技发展计划项目(06YFJMJC01600)
关键词
拥塞控制
RTT
神经网络
network congestion
round trip time
neural networks
