Neural Networks were used to build a model that would predict the transit times and the levels of trace amounts of radioactive components at the outlet of a sewage treatment plant. The Neural Networks are compared with more conventional approximation methods as a tool for prediction.
@article{596, title = {Predicting transit times and flow concentrations of contaminants through a metropolitan sewage system}, journal = {ANZIAM Journal}, volume = {42}, year = {2000}, doi = {10.21914/anziamj.v42i0.596}, language = {EN}, url = {http://dml.mathdoc.fr/item/596} }
Barry, J.; Crawford, J.; Airey, P. Predicting transit times and flow concentrations of contaminants through a metropolitan sewage system. ANZIAM Journal, Tome 42 (2000) . doi : 10.21914/anziamj.v42i0.596. http://gdmltest.u-ga.fr/item/596/