Table 5.
Mean values of neural network validation quality with 20 hidden neurons, considering different combinations of activation functions for each of wastewater quality parameters. The highest values for each parameter of treated wastewater quality are indicated in bold font.
Parameter | Activation of Output Layer | Activation of Hidden Layer | |||
---|---|---|---|---|---|
| |||||
Lin | Log | Tanh | Exp | ||
COD | lin | 0.958 | 0.984 | 0.985 | 0.986 |
log | 0.958 | 0.983 | 0.985 | 0.984 | |
tanh | 0.928 | 0.978 | 0.986 | 0.983 | |
exp | 0.975 | 0.982 | 0.982 | 0.985 | |
| |||||
TSS | lin | 0.778 | 0.927 | 0.931 | 0.936 |
log | 0.894 | 0.888 | 0.957 | 0.893 | |
tanh | 0.852 | 0.922 | 0.941 | 0.887 | |
exp | 0.772 | 0.908 | 0.848 | 0.897 | |
| |||||
Turbidity | lin | 0.814 | 0.951 | 0.939 | 0.942 |
log | 0.925 | 0.932 | 0.946 | 0.909 | |
tanh | 0.869 | 0.924 | 0.914 | 0.921 | |
exp | 0.826 | 0.947 | 0.923 | 0.942 | |
| |||||
pH | lin | 0.441 | 0.452 | 0.517 | 0.510 |
log | 0.436 | 0.430 | 0.627 | 0.586 | |
tanh | 0.439 | 0.544 | 0.581 | 0.605 | |
exp | 0.463 | 0.471 | 0.571 | 0.444 | |
| |||||
N-NO3 | lin | 0.901 | 0.959 | 0.958 | 0.946 |
log | 0.910 | 0.949 | 0.959 | 0.927 | |
tanh | 0.901 | 0.949 | 0.954 | 0.943 | |
exp | 0.863 | 0.951 | 0.961 | 0.954 | |
| |||||
N-NO2 | lin | 0.609 | 0.858 | 0.861 | 0.881 |
| |||||
log | 0.568 | 0.622 | 0.856 | 0.851 | |
| |||||
tanh | 0.618 | 0.847 | 0.866 | 0.770 | |
| |||||
exp | 0.633 | 0.484 | 0.868 | 0.869 | |
| |||||
N-NH3 | lin | 0.879 | 0.961 | 0.974 | 0.952 |
log | 0.879 | 0.938 | 0.923 | 0.969 | |
tanh | 0.880 | 0.939 | 0.968 | 0.877 | |
exp | 0.879 | 0.969 | 0.959 | 0.755 | |
| |||||
VOC | lin | 0.989 | 0.987 | 0.987 | 0.984 |
log | 0.785 | 0.993 | 0.995 | 0.998 | |
tanh | 0.995 | 0.998 | 0.997 | 0.997 | |
exp | 0.977 | 0.974 | 0.991 | 0.978 |