天津工业大学学报2012，Vol.31Issue(2)：78-81,4.
基于混沌算子网络模型的网络流量预测研究
Network traffic prediction based on chaotic operator network
摘要
Abstract
A new network traffic prediction method is proposed based on chaotic operator network. Training samples are constructed by known data according to the phase space reconstruction theory. The control parameters of the chaotic operators are trained by genetic algorithm. Thus, the dynamic characteristics of the prediction network are changed to approach to the dynamic characteristics of the system predicted. The prediction method can be applied to predict kinds of network traffics series. Simulation results show that the method has better predicting trends than conventional methods.关键词
混沌算子/网络模型/预测网络/网络流量/时间序列Key words
chaos operator/ network model/ prediction network/ network traffic/ time series分类
信息技术与安全科学引用本文复制引用
邹晓玫,张欣..基于混沌算子网络模型的网络流量预测研究[J].天津工业大学学报,2012,31(2):78-81,4.基金项目
天津市人文社会科学基金资助项目(TJFX 11-019) （TJFX 11-019）
