Riverbank filtration (RBF) is a natural process, using alluvial aquifers to remove contaminants and pathogens in river water for the production of drinking water as a low-cost water treatment technology. This study illustrates the development and application of feed-forward backpropagation network (BPN) as a type of artificial neural networks. The BPN prediction results produced good agreement with measured data at a correlation coefficient above 0.98 for filtrate water quality parameters, including temperature as well as turbidity, heterotrophic bacteria, and coliform removal.
Hashem, M. (2006). EVALUATION OF RIVERBANK FILTRATION AS DRINKING WATER TREATMENT PROCESS USING BACK-PROPAGATION TECHNIQUE. JES. Journal of Engineering Sciences, 34(No 5), 1353-1361. doi: 10.21608/jesaun.2006.111027
MLA
M. Hashem. "EVALUATION OF RIVERBANK FILTRATION AS DRINKING WATER TREATMENT PROCESS USING BACK-PROPAGATION TECHNIQUE", JES. Journal of Engineering Sciences, 34, No 5, 2006, 1353-1361. doi: 10.21608/jesaun.2006.111027
HARVARD
Hashem, M. (2006). 'EVALUATION OF RIVERBANK FILTRATION AS DRINKING WATER TREATMENT PROCESS USING BACK-PROPAGATION TECHNIQUE', JES. Journal of Engineering Sciences, 34(No 5), pp. 1353-1361. doi: 10.21608/jesaun.2006.111027
VANCOUVER
Hashem, M. EVALUATION OF RIVERBANK FILTRATION AS DRINKING WATER TREATMENT PROCESS USING BACK-PROPAGATION TECHNIQUE. JES. Journal of Engineering Sciences, 2006; 34(No 5): 1353-1361. doi: 10.21608/jesaun.2006.111027
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