所属单位：

理学院

发表刊物：

Proceedings of 2009 IEEE International Conference on Network Infrastructure and Digital Content

关键字：

中文关键字：网络流量;GM(1,1);小波理论;预测模型，英文关键字：Network Traffic; GM(1,1); Wavelet Theory; Forecast

摘要：

Based on Grey theory, a combined wavelet-GM(1,1) forecasting model is proposed. The random properties of some non-stationary time series can be reduced by wavelet decomposition into many series according to different scales. Decomposed time series are predicted with GM (1,1) model to obtain forecasted results of the original time series. Experiments on network traffic show that the combined model is more effective than the common grey model. The application of the proposed combined model to network traffic forecasting may offer scientific rationale to Internet routing decision, LAN virus detection and illegal invasion prevention.

备注：

白燕

合写作者：

马珂

第一作者：

马光思,白燕

论文类型：

期刊论文

卷号：

卷：

期号：

期：

页面范围：

页：155-158

是否译文：

否

发表时间：

2009-11-01