网络流量行为的态势分析与预测

在不断变化的现实网络环境中,流量参数之间的关系是相当复杂的,呈现的一般都是非线性规则,所以我们根据人工神经网络理论构造出以BP神经网络为核心的流量预测模型,对网络流量行为进行有效的态势分析进而产生预测流量的方案,并结合公司日常的网络管理加以应用,为企业用户提供更好的体验服务。

Network Flow Behavior of the Situation Analysis and Prediction

Real network environment is constantly changing,the flow relationship between variables is complex,usually showing a strong non-linear law.This article is introducing the series forecast within the theory and human nerve cell network based on BP neural network was designed based on the traffic forecasting model,given an effective traffic prediction programs,and applied to the company's network management,to provide users with better services.