一种新的网络流量组合预测模型  

New combination prediction model of network traffic

作　　者：段谟意[1] 

机构地区：[1]南京铁道职业技术学院软件学院,南京210031

出　　处：《计算机工程与应用》2012年第19期85-88,共4页Computer Engineering and Applications

摘　　要：针对传统网络流量预测方法精度低的问题,提出一种新的网络流量预测模型。该模型首先采用小波变换对网络流量进行分解,基于支持向量机预测各分量,并将预测结果进行重构。仿真实验结果表明该模型性能较好,其预测精度为6.347。In order to improve the prediction accuracy of network traffic, a novel prediction traffic method is pro- posed. In this model, wavelet transform is used to network decomposition at first, and each component is predicted by Support Vector Machine （SVM）, so as to reconstruct the prediction results. Then, the simulation is conducted to study on the different prediction model. The results show that this model has good performance, and the prediction accuracy is 6.347.

关 键 词：组合预测模型 小波分解及重构 支持向量机建模 αTrous算法 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]