Outlier Identify Based on BP Neural Network in Dam Safety Monitoring

被引：0
|
作者：
Li, Ning [1 ]
Li, Peng [1 ]
Shi, Xinling [1 ]
Yan, Kai [1 ]
Ren, Wenping [1 ]
机构：
[1] Yunnan Univ, Sch informat Sci & Engn, Kunming, Peoples R China
来源：
2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 2 | 2010年
关键词：
BP neural network; dam safety monitoring; prediction model; outlier identifying;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In popular outlier processing methods, some emphasize on spotted outliers processing and some emphasize on isolated outliers processing. They have seldom processed outliers from the perspective of outlier producing mechanism. This paper aims at the problem of outliers in dam safety monitoring and an outlier identify method which based on BP neural network is presented. This method based on the mechanism of the dam monitoring data formation firstly created the BP neural network predicting model of monitoring data, then identify the outliers. The simulation results indicated that this method works with spotted outliers and isolated outliers and this method has a unique advantage on analysis of the outlier causes.
引用
收藏
页码：210 / 214
页数：5
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