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| Reference : Data validation and missing data reconstruction using self-organizing map for water trea... |
| Scientific journals : Article | |||
| Engineering, computing & technology : Computer science | |||
| http://hdl.handle.net/2268/135925 | |||
| Data validation and missing data reconstruction using self-organizing map for water treatment | |
| English | |
Lamrini, B, Lakhal, E K  [] | |
| Wehenkel, Louis [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >] | |
| 2011 | |
| Neural Computing & Applications | |
| Springer Science & Business Media B.V. | |
| 20 | |
| 4 | |
| 575-588 | |
| International | |
| 0941-0643 | |
| [en] Neural networks ; Water treatment | |
| [en] Applications in the water treatment domain
generally rely on complex sensors located at remote sites. The processing of the corresponding measurements for generating higher-level information such as optimization of coagulation dosing must therefore account for possible sensor failures and imperfect input data. In this paper, selforganizing map (SOM)-based methods are applied to multiparameter data validation and missing data reconstruction in a drinking water treatment. The SOM is a special kind of artificial neural networks that can be used for analysis and visualization of large high-dimensional data sets. It performs both in a nonlinear mapping from a high-dimensional data space to a low-dimensional space aiming to preserve the most important topological and metric relationships of the original data elements and, thus, inherently clusters the data. Combining the SOM results with those obtained by a fuzzy technique that uses marginal adequacy concept to identify the functional states (normal or abnormal), the SOM performances of validation and reconstruction process are tested successfully on the experimental data stemming from a coagulation process involved in drinking water treatment. | |
| Researchers ; Students | |
| http://hdl.handle.net/2268/135925 | |
| 10.1007/s00521-011-0526-5 |
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