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Table 5 Comparison of modeling approaches

From: Machine learning for prediction of wind effects on behavior of a historic truss bridge

Member

Axial load (kN)

Accuracy (%)

Exp.

FEM (uniform)

FEM (quadrantal)

Random forest

FEM (uniform)

FEM (quadrantal)

Random forest

C1

−0.86

− 0.89

−0.83

− 0.88

97

96

98

C2

1.11

0.97

0.9

0.9

87

76

82