北京交通大学学报2013，Vol.37Issue(3)：92-97,6.
支持向量机的既有地铁变形监控智能预测
Intelligent forecast of the existing subway deformation monitoring based on support vector machine
摘要
Abstract
During the construction of crossing engineering,one of the important measures to ensure the safety of subway operation is the implementation of deformation surveying to the existing subway tunnel.Guangzhou new subway line 2 engineering which crosses the existing tunnel is taken as the background.How to achieve intelligent and automatic deformation surveying forecast during the subway tunnel construction process is studied.Because large amount of surveying data exists in the subway construction,deformation analysis is difficult and prediction has low accuracy,a subway intelligent deformation prediction model based on the PBIL and support vector machine is proposed.The PBIL algorithm is used to optimize the exact key parameters combination of support vector machine through probability analysis and thereby the predictive ability of the model deformation is greatly improved.Through applications on the Guangzhou subway across deformation surveying deformation engineering,the prediction method's predictive ability has high accuracy and the method has high practicality.It can support effective solution to the implementation of the comprehensive and accurate surveying and early warning under subway operation conditions with the environmental interference and complex deformation.关键词
既有地铁/穿越工程/变形监控/智能预测/数据处理Key words
existing subway/ traversing engineering/ deformation surveying/ intelligent prediction/data processing分类
交通工程引用本文复制引用
邱冬炜,梁青槐..支持向量机的既有地铁变形监控智能预测[J].北京交通大学学报,2013,37(3):92-97,6.基金项目
国家自然科学基金资助项目(40901192) （40901192）
北京市教委科技发展计划项目资助(KM201010016012) （KM201010016012）
