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Artificial neural network for modelling the removal of pollutants: A review |
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| รหัสดีโอไอ | |
| Creator | 1. Siti Fatimah 2. Wiharto |
| Title | Artificial neural network for modelling the removal of pollutants: A review |
| Publisher | Faculty of Engineering, Khon Kaen University |
| Publication Year | 2563 |
| Journal Title | Engineering and Applied Science Research |
| Journal Vol. | 47 |
| Journal No. | 3 |
| Page no. | 339-347 |
| Keyword | Review, Pollutants, Removal, Degradation, Artificial neural network |
| URL Website | https://www.tci-thaijo.org/index.php/easr/index |
| Website title | Engineering and Applied Science Research |
| ISSN | 2539-6161 |
| Abstract | Modeling of pollutant degradation using artificial neural networks (ANN) has been done well. The techniques used to model degradation vary. This literature review was done to examine the development of the use of ANN modeling from year to year. It will provide an overview of predictive studies from a degradation treatmentcondition that will produce optimal conditions. These conditionswill be supportedby experimental data so that costsand time can be reduced atlaboratory scale. Some relevant techniques include separation methods, coagulation, advanced oxidation processes, andchemical oxidation. The algorithmic approaches used are ANN-LM, ANN-BP, ANN-BP (SCG),andANN-BFGS. Modelling using ANN hasveryhighpotential for furtherdevelopment.The perfomance indicator of anANN method isastrong coefficientofdetermination(R2), with good RMSE, MAPE, and MSEvalues. |
