Environmental Engineering Reference
In-Depth Information
Table 5.3 Variation of errors in hidden layer when applying TN data as an input
No. of neurons
VE error
—
TN input
MAE error
—
TN input
RMSE error
—
TN input
Training
Test
Total
Training
Test
Total
Training
Test
Total
2
39.742
40.160
39.867
26.776
27.058
26.861
28.533
28.833
28.623
3
37.923
38.321
38.043
25.551
23.273
25.631
27.227
27.513
27.313
4
41.395
41.830
41.526
27.890
25.404
27.978
29.720
30.032
29.813
5
49.951
50.489
50.113
33.655
30.663
33.764
35.863
36.248
35.978
6
40.197
40.734
40.358
27.083
24.739
27.191
28.859
29.245
28.975
7
43.793
44.165
43.904
29.505
26.822
29.581
31.441
31.708
31.521
8
38.688
39.411
38.905
26.066
23.935
26.212
27.776
28.295
27.932
9
31.703
33.315
32.186
21.360
20.233
21.686
22.761
23.918
23.108
10
32.343
33.418
32.666
21.791
20.295
22.009
23.221
23.992
23.452
11
25.027
26.681
25.523
16.862
16.204
17.196
17.968
19.155
18.324
12
16.864
17.174
16.957
11.362
10.430
11.425
12.107
12.330
12.174
13
10.416
11.491
10.738
7.018
6.979
7.235
7.478
8.250
7.710
14
19.303
20.191
19.569
13.005
12.263
13.185
13.858
14.496
14.050
15
28.417
28.975
28.584
19.146
17.597
19.259
20.402
20.802
20.522
16
41.995
42.863
42.255
28.294
26.031
28.470
30.150
30.773
30.337
17
51.625
54.126
52.376
34.783
32.872
35.288
37.064
38.860
37.603
18
60.057
62.889
60.907
40.464
38.194
41.036
43.118
45.151
43.728
19
62.227
65.575
63.232
41.926
39.825
42.603
44.676
47.080
45.397
20
64.666
66.981
65.360
43.569
40.679
44.037
46.427
48.089
46.925
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