基于随机森林的智能终端定位模型和算法

Study on Smart Terminal Positioning Model and Algorithm Based on Random Forest

以智能终端为研究对象,将动态定位作为研究目标,根据数据获取、预处理、特征提取和选择,分类器设计与分类决策等五个方面提出了基于随机森林的定位模型和算法,详细论述了算法的执行流程,并通过用户测试数据仿真对模型进行了验证,结果表明该模型的定位算法结果准确率在90%左右。

In this paper, with the smart terminal as the subject and dynamic positioning as the objective, we proposed a positioning model and algorithm based on the random forest, described in detail the procedure of the algorithm and at the end, on the basis of test sample, proved the accuracy of the algorithm and model.