The Study of Application of Multi-label Classification Methods to Type Selection of Mobile Base-Station
Wangyang Shi, Linlin Wu · 2012
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.