佛山科学技术学院学报（自然科学版）2016，Vol.34Issue(2)：20-24,5.
基于改进GM（1，1）模型的网络流量预测与仿真
On prediction and simulation of network traffic by using improved GM(1, 1)model
摘要
Abstract
Network traffic prediction is the premise and foundation for network design, management, control and optimization. Aiming at the trend that majority of current network traffic appears close to cyclical changes, the paper presents a method that after the original datax(0)is mapped into a sine function(x(0)=siny(0)y(0)=arcsin x(0)), original datay(0)can be applied into GM(1,1)model for network traffic prediction, which avoids the shortcoming of monotonic prediction by using GM(1,1)model. Simulation results show the prediction accuracy by using the presented model is significantly higher than that by using GM(1,1)model, indicating its application value to some extent.关键词
正弦函数/GM(1,1)模型/网络流量/预测Key words
sine function/GM (1, 1) model/network traffic/prediction分类
计算机与自动化引用本文复制引用
张轶,汪杰..基于改进GM（1，1）模型的网络流量预测与仿真[J].佛山科学技术学院学报（自然科学版）,2016,34(2):20-24,5.基金项目
安徽省高等学校自然科学研究项目 （）
