Equation (26) developed for the prediction of the electrical conductivity needs to be applied in the range of datasets for which the feedforward neural network was trained. For the dataset considered in the present study, the maximum and minimum electrical conductivity values are 2,822.0 and 67.0 mS/cm, respectively. The results of correlation coefficients (R) of training, validation, testing, and overall feedforward neural networks with five effective input parameters (obtained using PCA) are shown in Table 11. It can be noticed that these results are slightly better than the results in Table 8. Moreover, the above functional forms can be developed for all the WQPs individually using the effective input parameters of PCA.
The correlation coefficients (R) of FFNN simulation results of electrical conductivity, DO, BOD and nitrate using five effective inputs in MATLAB environment
| S. No. . | Parameter . | Training . | Validation . | Testing . | All . | Network architecture . |
|---|---|---|---|---|---|---|
| 1 | Electrical conductivity (mS/cm) | 0.94 | 0.94 | 0.96 | 0.95 | 5-11-1 |
| 2 | DO (mg/L) | 0.76 | 0.76 | 0.74 | 0.76 | 5-11-1 |
| 3 | BOD (mg/L) | 0.83 | 0.83 | 0.85 | 0.81 | 5-11-1 |
| 4 | Nitrate (mg/L) | 0.75 | 0.79 | 0.78 | 0.75 | 5-11-1 |
| S. No. . | Parameter . | Training . | Validation . | Testing . | All . | Network architecture . |
|---|---|---|---|---|---|---|
| 1 | Electrical conductivity (mS/cm) | 0.94 | 0.94 | 0.96 | 0.95 | 5-11-1 |
| 2 | DO (mg/L) | 0.76 | 0.76 | 0.74 | 0.76 | 5-11-1 |
| 3 | BOD (mg/L) | 0.83 | 0.83 | 0.85 | 0.81 | 5-11-1 |
| 4 | Nitrate (mg/L) | 0.75 | 0.79 | 0.78 | 0.75 | 5-11-1 |