首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于BP神经网络的IP网络流量预测
引用本文:陈晓天,张顺颐,田婷婷.基于BP神经网络的IP网络流量预测[J].南京邮电大学学报(自然科学版),2010,30(2).
作者姓名:陈晓天  张顺颐  田婷婷
作者单位:南京邮电大学,信息网络技术研究所,江苏,南京,210003
摘    要:采用了BP神经网络对网络流量数据的时间序列进行建模与预测。从分析网络流量的特征着手,构建了基于BP神经网络的IP网络流量预测模型,并进行了仿真验证。实验结果表明,该模型对网络流量的预测是有效可行的,并具有良好的收敛性和稳定性。

关 键 词:IP网络  流量预测  服务质量  BP网络  时间序列  

Internet Traffic Forecasting Based on BP Neural Network
CHEN Xiao-tian,ZHANG Shun-yi,TIAN Ting-ting.Internet Traffic Forecasting Based on BP Neural Network[J].Journal of Nanjing University of Posts and Telecommunications,2010,30(2).
Authors:CHEN Xiao-tian  ZHANG Shun-yi  TIAN Ting-ting
Institution:Institute of Information Networks Technology/a>;Nanjing University of Posts and Telecommunications/a>;Nanjing 210003/a>;China
Abstract:The time series of network traffic data was modeled and forecasted based on BP neural network.The IP network traffic forecasting model based on BP neural network was built by analyzing the characteristics of network traffic.The experimental results prove that the model is efficient in network traffic prediction with good astringency and stability.
Keywords:IP Network  traffic prediction  quality of service  BP network  time series  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号