• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2008, Vol. 30 ›› Issue (10): 90-92.

• 论文 • 上一篇    下一篇

基于SVM的中国北方水闸工程垂直位移观测的数据分析与预测

王晓晶[1] 张桂芸[1] 张松涛[2] 修永富[1]   

  • 出版日期:2008-10-01 发布日期:2010-05-19

  • Online:2008-10-01 Published:2010-05-19

摘要:

垂直位移观测是水闸工程管理中十分重要的工作之一,而对观测数据的整编分析是评价水闸工程能否安全运用、发挥设计效益的重要依据。本文结合中国北方软土地基上建设的水闸工程实际情况,主要研究了利用SVM对垂直位移观测数据进行提取、分类以实现预测的分法。

关键词: 数据挖掘 数据仓库 水闸 垂直位移 数据分析

Abstract:

Vertical displacement observation is one of the very important jobs in sluice project management, and the reorganization analysis of the observational  data plays an important role in the evaluation of the safe use of sluice projects, and the design efficiency. In this paper, according to the actual situation of the construction of sluice projects on the soft ground base in North China, on the basis of data warehousing, data mining and their key techn  ologies , the data analysis techniques in the sluice oroject vertical displacement observation are discussed.

Key words: data mining, sluice;vertical displacement, data analysis