遗传算法优化支持向量机的网络流量混沌预测Network traffic chaotic prediction based on genetic algorithm optimization and support vector machine
熊凡
摘要(Abstract)：
基于支持向量机的网络流量混沌预测方法通常基于人工经验设置参数,参数的性能较差,大大降低网络流量预测精度。因此,提出遗传算法优化支持向量机的网络流量混沌预测方法,通过相空间重构获取新的网络流量时间序列,获取具有最佳非线性预测结果的支持向量机函数,采用遗传算法优化支持向量机参数。基于优化的支持向量机参数,设计基于遗传算法优化支持向量机的交通流量预测模型,实现网络流量混沌预测。实验结果表明,所提方法在网络流量预测方面整体性能优、具有较高的精度。
关键词(KeyWords)： 遗传算法优化;支持向量机;网络流量;混沌预测;相空间重构;预测模型
基金项目(Foundation):
作者(Author): 熊凡
DOI: 10.16652/j.issn.1004-373x.2018.18.039
参考文献(References)：
- [1]吴微微,苏金蓉,魏娅玲,等.四川地区介质衰减、场地响应与震级测定的讨论[J].地震地质,2016,38(4):1005-1018.WU Weiwei,SU Jinrong,WEI Yaling,et al.Discussion on attenuation characteristics,site response and magnitude determination in Sichuan[J].Seismology and geology,2016,38(4):1005-1018.
- [2]黄国权,尤新华.改进粒子群算法优化最小二乘支持向量机的网络流量混沌预测[J].激光杂志,2015,36(3):96-99.HUANG Guoquan,YOU Xinhua.Network traffic chaotic predicting based on least squares support vector machine optimized by improved particle swarm optimization algorithm[J].Laser journal,2015,36(3):96-99.
- [3]田中大,高宪文,李树江,等.遗传算法优化回声状态网络的网络流量预测[J].计算机研究与发展,2015,52(5):1137-1145.TIAN Zhongda,GAO Xianwen,LI Shujiang,et al.Prediction method for network traffic based on genetic algorithm optimized echo state network[J].Journal of computer research and development,2015,52(5):1137-1145.
- [4]吴俊,黎云汉.相空间重构和支持向量机相融合的网络流量预测[J].计算机工程与应用,2014,50(16):67-71.WU Jun,LI Yunhan.Network traffic prediction model based on phase space reconstruction and support vector regression[J].Computer engineering and applications,2014,50(16):67-71.
- [5]陆兴华,陈平华.基于定量递归联合熵特征重构的缓冲区流量预测算法[J].计算机科学,2015,42(4):68-71.LU Xinghua,CHEN Pinghua.Traffic prediction algorithm in buffer based on recurrence quantification union entropy feature reconstruction[J].Computer science,2015,42(4):68-71.
- [6]王男帅,薛静锋,胡昌振,等.基于遗传优化支持向量机的软件缺陷预测模型[J].中国科技论文,2015,10(2):159-163.WANG Nanshuai,XUE Jingfeng,HU Changzhen,et al.Software defect prediction model based on support vector machine optimized by genetic algorithm[J].China sciencepaper,2015,10(2):159-163.
- [7]马起杨,朱新运.浙江珊溪水库地震震源参数特征研究[J].地震学报,2016,24(6):379-387.MA Qiyang,ZHU Xinyun.Hypocentral parameters research of the Shanxi reservoir area in Zhejiang[J].Acta Seismologica Sinica,2016,24(6):379-387.
- [8]PAN A,ZHOU J,ZHANG P,et al.Predicting of power quality steady state index based on chaotic theory using least squares support vector machine[J].Energy&power engineering,2017,9(4):713-724.
- [9]季斌,周涛发,袁峰.遗传算法优化支持向量机矿产预测方法[J].测绘科学,2015,40(10):106-109.JI Bin,ZHOU Taofa,YUAN Feng.Mineral prediction method based on support vector machine optimized with genetic algorithm[J].Science of surveying and mapping,2015,40(10):106-109.
- [10]TIAN Z,GAO X,LI S,et al.Prediction method for network traffic based on genetic algorithm optimized echo state network[J].Journal of computer research&development,2015,52(5):1137-1145.