基于多神经网络的网络流量预测模型  

A Network Traffic Prediction Model based on Mul-neural Network

作　　者：陈振伟[1] 王茜[1] 黄继红[1] 

机构地区：[1]皖西学院,安徽六安237012

出　　处：《计算机安全》2010年第12期19-21,共3页Network & Computer Security

摘　　要：实现网络QoS控制对于网络管理及维护相当重要,而网络流量预测对于实现网络的QoS控制可以起到十分重要的作用;另外,流量预测在入侵检测中的应用也受到越来越多的关注。网络流量预测极具现实研究意义。对多个神经网络预测模型进行有效的整合,建立了一个基于多神经网络的网络流量预测模型,并用真实的网络流量对该模型进行仿真验证,提高了其预测性能。Realizing the network Qos control for network management is of the same importantance as the network maintence,and network traffic prediction is very important to realization of the network Qos control;Another,the application of network traffic prediction in intrstion detection system Caused concern more and more.network traffic prediction is quite a useful research which have essential reality meanings.We made valid integration based on serval of neural network models,and get satisfacting result by building a model based on several of neraul networks.

关 键 词：流量预测 多网络 仿真 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]