From: Artificial neural network modeling of p-cresol photodegradation
Run | Irradiation time (min) | pH | Photocatalyst (g) | P-cresol (ppm) | Photodegradation (%) | |
---|---|---|---|---|---|---|
 | Actual | Predicted | ||||
Training Data | ||||||
1 | 300 | 6 | 2 | 100 | 62.479 | 63.176 |
2 | 240 | 7.5 | 1.5 | 125 | 53.094 | 53.327 |
3 | 180 | 9 | 2 | 100 | 40.124 | 39.348 |
4 | 300 | 9 | 2 | 100 | 74.538 | 74.800 |
5 | 120 | 7.5 | 1.5 | 75 | 48.465 | 49.289 |
6 | 360 | 7.5 | 1.5 | 75 | 92.229 | 93.719 |
7 | 180 | 6 | 1 | 50 | 45.636 | 45.549 |
8 | 300 | 6 | 1 | 50 | 65.062 | 65.131 |
9 | 180 | 9 | 1 | 50 | 69.848 | 69.680 |
10 | 240 | 7.5 | 1.5 | 25 | 95.866 | 96.360 |
11 | 180 | 9 | 1 | 100 | 57.887 | 57.755 |
12 | 300 | 6 | 2 | 50 | 92.261 | 91.860 |
13 | 180 | 6 | 1 | 100 | 36.513 | 37.256 |
14 | 300 | 6 | 1 | 100 | 55.227 | 54.659 |
15 | 180 | 6 | 2 | 50 | 63.546 | 63.619 |
16 | 180 | 9 | 2 | 50 | 75.796 | 76.247 |
17 | 240 | 7.5 | 0.5 | 75 | 70.055 | 70.197 |
18 | 240 | 7.5 | 2.5 | 75 | 84.811 | 85.001 |
19 | 300 | 9 | 1 | 100 | 78.207 | 78.287 |
20 | 240 | 4.5 | 1.5 | 75 | 25.717 | 25.788 |
21 | 240 | 10.5 | 1.5 | 75 | 55.993 | 56.588 |
22 | 180 | 6 | 2 | 100 | 35.462 | 34.380 |
23 | 300 | 9 | 1 | 50 | 85.148 | 84.930 |
24 | 300 | 9 | 2 | 50 | 96.684 | 96.131 |
25 | 240 | 7.5 | 1.5 | 75 | 92.555 | 89.420 |
Testing Data | ||||||
26 | 150 | 7 | 1.5 | 75 | 58.750 | 58.462 |
27 | 210 | 8 | 1.5 | 50 | 85.330 | 91.185 |
28 | 240 | 7.5 | 1.5 | 50 | 98.000 | 96.208 |
29 | 180 | 7.49 | 1.5 | 75 | 68.802 | 71.687 |
30 | 240 | 7.5 | 1 | 75 | 92.083 | 88.658 |
31 | 270 | 8 | 1.5 | 75 | 88.967 | 90.029 |
Validation Data | ||||||
32 | 180 | 7 | 1.5 | 75 | 65.778 | 74.244 |
33 | 240 | 7.5 | 1.5 | 50 | 92.716 | 97.141 |
34 | 180 | 8 | 1.5 | 75 | 68.218 | 78.871 |
35 | 240 | 7.49 | 1 | 60 | 81.217 | 87.489 |
36 | 180 | 7.49 | 1.5 | 50 | 85.233 | 92.214 |
37 | 210 | 7.49 | 1.5 | 75 | 81.474 | 87.439 |
38 | 240 | 7.5 | 1.5 | 75 | 88.000 | 91.143 |