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.
出处
《计算机工程与应用》
CSCD
2012年第19期85-88,共4页
Computer Engineering and Applications
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
combination prediction model
wavelet decomposition and reconstruction
Support Vector Machine （SVM）model
aTrous algorithm
