多标签分类技术在移动通信基站选型中的研究  

The Study of Multi-label Classification Methods to Type Selection of Mobile Base-Station

作　　者：石王阳[1,2] 

机构地区：[1]安徽机电职业技术学院,安徽芜湖241000 [2]合肥工业大学,安徽合肥230009

出　　处：《廊坊师范学院学报（自然科学版）》2012年第5期36-39,共4页Journal of Langfang Normal University(Natural Science Edition)

摘　　要：针对移动通信基站选型的问题,提出基于多标签分类技术移动通信基站选型的一种新方法。引入多标签分类技术中的BR方法,基于基站建设的历史数据进行自动选型,通过数据的分解、分类器的处理和集成,最后建立基站选型的预测模型。实验结果表明,多标签分类技术在移动通信基站建设中基站选型的预测上有较好的预测能力,优于传统的经验选型方法。For the problem to type selection of mobile base-station,this article introduces a new approach of application of multi-label classification methods to type selection of mobile base-station.In order to construct forecasting model of type selection of mobile base-station,we need to carry on the application of BR,which is one of multi-label classification methods,to automatic type selection on the basis of historical data of base-station construction by resolving data,treating and integrating of classifier.The results indicate that there is a better ability of forecast by adopting our method than that by using traditional method of experience.

关 键 词：多标签 基站类型 分类 二元方法 数据挖掘 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]