Abstract
The use of pattern recognition methods for predicting air pollution developments is discussed. Computer analysis of historical pollution data allows comparison in graphical form. An example of crisis prediction for carbon monoxide concentrations, using the pattern recognition method of analysis, is presented. Results of the analysis agreed well with actual CO conditions. (6 graphs, 4 references, 1 table)
Citation Formats
Tauber, S.
Pattern recognition methods in air pollution control.
United Kingdom: N. p.,
1978.
Web.
doi:10.1016/0004-6981(78)90279-2.
Tauber, S.
Pattern recognition methods in air pollution control.
United Kingdom.
https://doi.org/10.1016/0004-6981(78)90279-2
Tauber, S.
1978.
"Pattern recognition methods in air pollution control."
United Kingdom.
https://doi.org/10.1016/0004-6981(78)90279-2.
@misc{etde_5395244,
title = {Pattern recognition methods in air pollution control}
author = {Tauber, S}
abstractNote = {The use of pattern recognition methods for predicting air pollution developments is discussed. Computer analysis of historical pollution data allows comparison in graphical form. An example of crisis prediction for carbon monoxide concentrations, using the pattern recognition method of analysis, is presented. Results of the analysis agreed well with actual CO conditions. (6 graphs, 4 references, 1 table)}
doi = {10.1016/0004-6981(78)90279-2}
journal = []
volume = {12:12}
journal type = {AC}
place = {United Kingdom}
year = {1978}
month = {Jan}
}
title = {Pattern recognition methods in air pollution control}
author = {Tauber, S}
abstractNote = {The use of pattern recognition methods for predicting air pollution developments is discussed. Computer analysis of historical pollution data allows comparison in graphical form. An example of crisis prediction for carbon monoxide concentrations, using the pattern recognition method of analysis, is presented. Results of the analysis agreed well with actual CO conditions. (6 graphs, 4 references, 1 table)}
doi = {10.1016/0004-6981(78)90279-2}
journal = []
volume = {12:12}
journal type = {AC}
place = {United Kingdom}
year = {1978}
month = {Jan}
}