计算机工程与应用2011，Vol.47Issue(14)：73-75,3.DOI:10.3778/j.issn.1002-8331.2011.14.020
基于SOM的无线通信话务量最优加权组合预测
Combined prediction with optimal weight for wireless communication traffic based on SOM
摘要
Abstract
In view of the limitation that a single prediction model cannot accurately characterize the evolving law of wireless communication traffic, and considering its diversity, this paper presents a combined prediction with optimal weight for wireless communication traffic based on Self-Organizing Maps(SOM) neural network.This method firstly makes use of the SOM neural network to realize the automatic clustering of wireless communication traffic.Then for each class,the corresponding combined prediction with optimal weight is determined to provide the prediction values.The experimental results show that the proposed method not only can improve the prediction accuracy,but also enhance the prediction stability.关键词
无线通信话务量/最优加权组合预测/自组织映射/神经网络Key words
wireless communication traffic/combined prediction with optimal weight/self-organizing maps(SOM)/neural network分类
信息技术与安全科学引用本文复制引用
魏静,李恒超,范平志..基于SOM的无线通信话务量最优加权组合预测[J].计算机工程与应用,2011,47(14):73-75,3.基金项目
北京邮电大学泛网无线通信教育部重点实验室资助. （）
