首页 | 本学科首页   官方微博 | 高级检索  
     检索      

典型大气腐蚀介质的灰色预测模型分析
引用本文:黄海军,李婵,王俊.典型大气腐蚀介质的灰色预测模型分析[J].装备环境工程,2012,9(1):13-16.
作者姓名:黄海军  李婵  王俊
作者单位:中国电器科学研究院有限公司,广州,510663
摘    要:利用武汉地区2002—2007年二氧化硫和氯化物含量数据,建立了这2种典型大气腐蚀介质的GM(11,)预测模型,探讨了不同维数GM(1,1)模型预测结果的差异。另外,对这2种典型大气腐蚀介质GM(1,1)模型进行了检验,结果表明,GM(1,1)模型的预测精度较高,精度检验等级达到1级。

关 键 词:大气腐蚀介质  灰色预测模型  二氧化硫  氯化物
收稿时间:2011/8/19 0:00:00

Study on Grey Prediction Model of Typical Atmospheric Corrosion Mediums
HUANG Hai-jun,LI Chan and WANG Jun.Study on Grey Prediction Model of Typical Atmospheric Corrosion Mediums[J].Equipment Environmental Engineering,2012,9(1):13-16.
Authors:HUANG Hai-jun  LI Chan and WANG Jun
Institution:(China Electric Apparatus Research Institute Co. Ltd., Guangzhou 510300, China)
Abstract:GM(1,1) prediction models were established, which was based on the data of sulfur dioxide and chloride contents from the year 2002 to 2007 in Wuhan. The differences among different dimensions GM(1,1) model prediction results were investigated. Moreover, the GM(1,1) models of the two typical atmospheric corrosion mediums were tested. The result showed that GM(1,1) model has high prediction accuracy, and the accuracy class achieves level 1.
Keywords:atmospheric corrosion medium  grey prediction model  sulfur dioxide  chloride
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《装备环境工程》浏览原始摘要信息
点击此处可从《装备环境工程》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号