节点文献
一种基于小波变换的校园网流量预测方法研究
Method Research for Campus Network Traffic Prediction Based on Wavelet Transform
【摘要】 流量预测是实现网络管理与控制的重要前提。通过介绍网络流量特征,描述了网络流量预测基础理论,将神经网络与小波变换相结合,设计出一种紧致型小波神经网络流量预测算法,采用真实校园网流量数据对所提算法进行实验分析,并与相关方法进行对比。实验结果表明该算法是有效的。
【Abstract】 Network traffic prediction is the important foundation of the network management and control.The basal theory of network traffic prediction is described based on the introduction of the traffic features,and a tight wavelet-neural network algorithm for network traffic prediction is designed under the combination of the neural network and wavelet transform.Using the real campus network traffic data,the experiments and analysis are done and the results indicate that the algorithm we purposed is effective.
【关键词】 网络流量特性;
小波分析;
BP神经网络;
流量预测模型;
【Key words】 Network traffic characteristics; Wavelet transform; Neural network; Traffic prediction model;
【Key words】 Network traffic characteristics; Wavelet transform; Neural network; Traffic prediction model;
【基金】 国家自然科学基金项目(60803162);陕西省自然科学基金项目(SJ08-ZT15)资助
- 【文献出处】 计算机科学 ,Computer Science , 编辑部邮箱 ,2012年S2期
- 【分类号】TP393.06
- 【被引频次】9
- 【下载频次】117