Prediction Method for Network Traffic Based on Maximum Correntropy Criterion
- ISSN号：1673-5447
- 期刊名称：China Communications
- 时间：2013.1.1
- 页码：134-145
- 分类：O211[理学—概率论与数理统计;理学—数学] TP393.07[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
- 作者机构：[1]School of Electronic and Information Engineering,China, Xi'an Jiaotong University, Xi'an 710049, [2]School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications,China,Xi'an 710121
- 相关基金：This work was supported in part by the National Natural Science Foundation of China under Grant No.61071126 and the National Radio Project under Grants No.2010ZX03004-001,No.2010ZX03004-002,No.2011ZX03002-001
- 相关项目：基于覆盖网的宽带移动IP网自愈技术研究
关键词：
网络流量预测, 评判标准, ELMAN神经网络, 神经网络训练, PARZEN窗, 非线性特性, 概率密度函数, RENYI熵, MCC, MSE, Elman neural net-work, network traffic prediction
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