首页    期刊浏览 2024年11月06日 星期三
登录注册

文章基本信息

  • 标题:APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR PREDICTION OF AIR POLLUTION LEVELS IN ENVIRONMENTAL MONITORING
  • 本地全文:下载
  • 作者:Małgorzata Pawul ; Małgorzata Śliwka
  • 期刊名称:Inżynieria Ekologiczna
  • 印刷版ISSN:2081-139X
  • 电子版ISSN:2392-0629
  • 出版年度:2016
  • 卷号:17
  • 期号:4
  • 页码:190-196
  • DOI:10.12911/22998993/64828
  • 出版社:Polish Society of Ecological Engineering (PTIE)
  • 摘要:Recently, a lot of attention was paid to the improvement of methods which are used to air quality forecasting.Artificial neural networks can be applied to model these problems.Their advantage is that they can solve the problem in the conditions of incomplete information, without the knowledge of the analytical relationship between the input and output data.In this paper we applied artificial neural networks to predict the PM 10 concentrations as factors determining the occurrence of smog phenomena.To create these networks we used meteorological data and concentrations of PM 10.The data were recorded in 2014 and 2015 at three measuring stations operating in Krakow under the State Environmental Monitoring.The best results were obtained by three-layer perceptron with back-propagation algorithm.The neural networks received a good fit in all cases.
  • 关键词:environmental monitoring ; air pollution ; artificial neural networks ; prediction
国家哲学社会科学文献中心版权所有