Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Environmental Science and Management》 2009-11
Add to Favorite Get Latest Update

The Application of Concentration Forecasting of Air Pollutant Based on BP Neural Network in Matlab

Ouyang Jun1,Wang Aizhi2(1.Shanghai Changning Area Environmental Monitoring Station,Shanghai 200052,China;2.Shanghai Office of Chinese Academy of Meteorological Sciences,Shanghai 200011,China)  
In order to find the measures of controlling and improving environmental quality effectively,The BP neural network model improved by the way of advance termination is used for forecasting the average concentration(1hour)of PM10 in 24 hours,through using the materials of average concentration(1hour)of PM10 monitored by the Bloomsbury Site in London.The results show:The prediction relative errors are between 2 percent and 48 percent,and the most numbers less than 17 percent.The forecasting precision is high and the adaptability is better.It provides a effective method for Concentration Forecasting of Air Pollutant.
【CateGory Index】: X831
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved