传感技术学报2012，Vol.25Issue(12)：1706-1710,5.DOI:10.3969/j.issn.1004-1699.2012.12.017
基于支持向量机的桥梁健康监测系统残缺数据填补
Missing Data Imputation in Bridge Health Monitoring System Based on the Support Vector Machine
摘要
Abstract
In bridge health monitoring system,data possess the features of small sample,nonlinear and sequential. A missing data imputation method based on the support vector machine is presented. It will analyse the autocorrelation of the data and choose the appropriate dimensions of the sample as inputs to the calculated mode which is given out by the principle of support vector regression machine. The model was utilized to forecast the missing data. Compared with the results of BP neural network's imputation, the experimental results of support vector machine in filling of missing data show that it has advantages on smaller samples and higher generalization ability.关键词
桥梁健康监测系统/缺失数据填补/时间序列/支持向量机Key words
bridge health monitoring system/ missing data imputation/ time series/ support vector machine分类
信息技术与安全科学引用本文复制引用
符欲梅,朱芳,昝昕武..基于支持向量机的桥梁健康监测系统残缺数据填补[J].传感技术学报,2012,25(12):1706-1710,5.基金项目
教育部留学回国人员科研启动基金项目 （）
重庆大学中央高校基本科研业务费科研专项项目(CDJZR11120008) （CDJZR11120008）
重庆大学研究生科技创新基金(CDTXS11120015) （CDTXS11120015）
