The coagulation, flocculation and sedimentation processes involve many complex physical and chemical phenomena and thus are difficult to model using traditional methods. This paper proposes the use of a neural network model for these treatment processes. A brief review of artificial neural network (ANN) models is presented, followed by a description of the development of an ANN model for a large water treatment plant. To show the capacity of the ANN model, a scenario analysis was performed to highlight important operational parameters. A neural network process model was built based on nearly 2,000 sets of process data. The model was shown to be capable of adequately predicting system performance.
| File Size : | 1
file |
| ISBN(s) : | 0898679583 |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 17 |
| Published : | 01/01/1997 |
