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Table 1 The independent variables as input, actual and predicated of p -cresol photodegradation as output for training, testing and validation set

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