Artificial neural network forecast application for fine particulate matter concentration using meteorological data

M. Memarianfard; A.M. Hatami; M. Memarianfard

Volume 3, Issue 3 , September 2017, , Pages 333-340

https://doi.org/10.22034/gjesm.2017.03.03.010

Abstract
  Most parts of the urban areas are faced with the problem of floating fine particulate matter. Therefore, it is crucial to estimate the amounts of fine particulate matter concentrations through the urban atmosphere. In this research, an artificial neural network technique was utilized to model the PM2.5 ...  Read More