Journal
APPLIED ARTIFICIAL INTELLIGENCE
Volume 20, Issue 6, Pages 493-506Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/08839510600753741
Keywords
-
Ask authors/readers for more resources
This work illustrates the use and some results of artificial neural networks (ANNs) for data quality control of air pollutants. ANNs are applied to the short-term predicting of air pollutant concentrations in urban areas. Observed versus predicted data are compared to test the efficacy of ANNs in simulating environmental processes. Statistical analysis is used for choice of neural structure. The model is validated on original data.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available