计算机工程与应用Issue(8)：100-104,5.DOI:10.3778/j.issn.1002-8331.1211-0191
基于映射矩阵的网络流量分析预测模型
摘要
Abstract
By analyzing user behavior, this paper finds that the IP data stream has smooth and self-correlation characteristics, pro-poses a prediction model based on the mapping matrix flow in comparison with the linear AR, RIMA models and nonlinear BP model based on feedback neural network, Elman neural network. The test results demonstrate that the mapping matrix model has high prediction accuracy and fast convergence characteristics compared with existing models.关键词
映射矩阵/预测模型/网络流量/用户行为Key words
mapping matrix/prediction model/network traffic/user behavior分类
信息技术与安全科学引用本文复制引用
贺相春,董晓辉..基于映射矩阵的网络流量分析预测模型[J].计算机工程与应用,2013,(8):100-104,5.基金项目
西北师范大学青年教师科研能力提升计划项目(No.SYQNYB10040) （No.SYQNYB10040）
