| 基于神经网络及时间序列混合模型的桥梁健康监测系统缺失数据填补 |
| |
| 引用本文： | 昝昕武,平春蕾,符欲梅. 基于神经网络及时间序列混合模型的桥梁健康监测系统缺失数据填补[J]. 重庆理工大学学报(自然科学版), 2011, 0(4) |
| |
| 作者姓名： | 昝昕武 平春蕾 符欲梅 |
| |
| 作者单位： | 重庆大学光电工程学院光电技术及系统教育部重点实验室; |
| |
| 基金项目： | 重庆市自然科学基金资助项目(CSTC2009BB6037); 研究生科研创新基金个人资助项目(CDJXS11120015) |
| |
| 摘 要： | 列举了实际桥梁健康监测系统中数据缺失的几种形式,根据桥梁健康监测系统中监测数据是时间序列集的特点,以及神经网络强大的映射能力,利用神经网络及时间序列混合模型的方法来填补缺失数据,并将该方法与时间序列法的填补结果进行对比,结果表明该方法处理缺失数据的误差较低。
|
| 关 键 词： | 缺失数据 填补 神经网络及时间序列混合模型 桥梁健康监测系统 |
Missing Data Imputation in Bridge Health Monitoring System base on Hybrid Model of Neural Network and Time Series |
| |
| ZAN Xin-wu,PING Chun-lei,FU Yu-mei. Missing Data Imputation in Bridge Health Monitoring System base on Hybrid Model of Neural Network and Time Series[J]. Journal of Chongqing University of Technology(Natural Science), 2011, 0(4) |
| |
| Authors: | ZAN Xin-wu PING Chun-lei FU Yu-mei |
| |
| Affiliation: | ZAN Xin-wu,PING Chun-lei,FU Yu-mei (The Key Laboratory for Optoelectronic Technology & Systems,Ministry of Education,College of Optoelectronic Engineering,Chongqing University,Chongqing 400044,China) |
| |
| Abstract: | Because of shutting down of the power supply,disturbance or noise in transmission,replacement of sensors,and etc.,the missing data is occurred frequently in bridge health monitoring system.This will affect the bridge health monitoring system to evaluate the state of bridge.So,it is very important to impute these missing data.In this paper,some missing data examples occurred in an actual bridge health monitoring system are listed.By means of time series' feature of bridge health monitoring system's data and ... |
| |
| Keywords: | missing data imputation hybrid modal of neural network and time series bridge health monitoring system |
| 本文献已被 CNKI 等数据库收录！ |
