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Advances in Civil Engineering
/
2018
/
Article
/
Tab 5
/
Research Article
Optimizing the Prediction Accuracy of Friction Capacity of Driven Piles in Cohesive Soil Using a Novel Self-Tuning Least Squares Support Vector Machine
Table 5
Obtained predicted results by ST-LSSVM for testing data.
L
(m)
D
(cm)
(kPa)
S
u
(kPa)
f
s
(kPa)
Predicted
f
s
(kPa)
8
13.5
27
9
9
11.11
9.4
29.3
52
29
18
23.08
14.6
16
67
29
16
21.96
11.6
17.5
57
27
18
21.28
9.6
19.2
42
15
13
15.30
21.6
45.7
147
31
28.8
37.22
36.9
30.6
149.6
28.2
30.5
27.39
66.4
32.5
223
60
31.2
27.43
11.6
11.4
44
21
13.4
16.86
22.9
32.5
91
52
27
30.92
13.8
19
21
21
13
13.78
25.3
27.4
244
185
88.8
93.59
14.9
52.8
66
53
27.6
32.57
18.3
32.5
51
33
32
20.83
48.2
61
152
64
37.8
31.93
32
21.4
141
115
59.8
49.98
13.4
27
81
22
20
22.76
24.2
15
147
19
30
25.42
15.5
17.5
80
72
35
40.60
12.8
32.5
110
96
54.7
56.55