Research Article
Employing Artificial Neural Networks to Predict the Performance of Domestic Sewage Treatment Terminals in the Rural Region
Table 7
Sensibility analysis of ANN-PSO in the modelling of TN and COD.
| TN | Upper 10% | Lower 10% | Rank |
| e_pH | 3.08 | 4.49 | 1 | i_PHi | 2.34 | 2.71 | 2 | i_Con | 0.64 | 0.65 | 3 | e_Con | 0.58 | 0.65 | 4 | e_NH3 | 0.41 | 0.38 | 5 | i_NH3 | 0.33 | 0.29 | 6 | e_Tur | 0.28 | 0.14 | 7 | i_Tur | 0.1 | 0.1 | 8 |
| COD | e_pH | 5.57 | 6.17 | 1 | i_PHi | 3.01 | 2.68 | 2 | i_Con | 1.33 | 1.45 | 3 | e_Con | 1.18 | 1.18 | 4 | i_NH3 | 0.57 | 0.56 | 5 | e_NH3 | 0.41 | 0.38 | 6 | e_Tur | 0.35 | 0.35 | 7 | i_Tur | 0.11 | 0.11 | 8 |
|
|