摘要
在当下交通运输业的飞速发展,我国公路桥梁的面临着交通负载不断增长的情况。因而需不断更新桥梁检测技术及方法,提高对检测数据的认识,知识转化,从而对桥梁的实际状况有更加深入的理解。监测工作中产生的大规模数据有待利用处理,有效挖掘。文章对福建省三明市、南平市公路桥检测的数据进行了清洗,引入机器学习算法中的随机森林算法,对检测数据进行了人工智能处理,并与专家评测结果进行对比分析,证明了机器学习算法在桥梁检测监控的可行性。
With the developing of the traffic,the bridges of highway in our country are facing more and more load.For this situation,we should be update the technology of bridge detection,and be more aware of the data we get,,transform the signal from electric mechine for more informative.This paper focus on the data detected from Sanming,Nanping city of Fujian Province,and lead random forest algorithm into the process of data mining.Comparing with the score from the manual assess,this algorithm shows great advantage and feasibility in bridge detection.
出处
《工程技术研究》
2017年第9期79-79,85,共2页
Engineering and Technological Research
关键词
离散变量
连续变量
信息增益
随机森林算法
Category variable
Continuous variable
Information gain
Random forest algorithm
