Predicting the performance of multi-media filters using artificial neural networks
The impact of flow rate and turbidity on the performance of multi-media filtration has been studied using an artificial neural network (ANN) based model. The ANN model was developed and tested based on experimental data collected from a pilot scale multi-media filter system. Several ANN models were...
| Veröffentlicht in: | Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 74(2016), 9 vom: 18. Nov., Seite 2225-2233 |
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| Format: | Aufsatz |
| Sprache: | English |
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2016
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| Zugriff auf das übergeordnete Werk: | Water science and technology : a journal of the International Association on Water Pollution Research |
| Schlagworte: | Journal Article Water Pollutants, Chemical |