Research Article

Damage Simulation and Ultrasonic Detection of Asphalt Mixture under the Coupling Effects of Water-Temperature-Radiation

Table 3

Regression and prediction results of SVM, BP, and grey theory.

ConditionsGroups number Square error (%)Prediction error (%)
SVMBP neural networkGrey theorySVM BP neural networkGrey theory

20°CA0.0100.0290.0891.090.9225.76
B0.0060.0210.0685.333.4513.69
C0.0040.0190.0918.627.198.50
D0.0120.0480.0622.203.2012.02
E0.0130.0430.0642.836.2817.57

0°CA0.0120.0380.1039.632.9212.03
B0.0070.0280.0724.494.9922.48
C0.0100.0180.0710.594.4623.19
D0.0100.0270.0745.4812.2210.15
E0.0100.0330.0530.044.4413.59

−20°CA0.0100.0280.0936.6323.809.02
B0.0120.0360.0730.692.808.63
C0.0060.0190.0357.91016.05
D0.0040.0110.0932.564.389.69
E0.0110.0330.0731.4215.7412.37

Water-saturated stateA0.0100.0390.0949.4213.999.68
B0.0120.0450.0965.144.497.10
C0.0080.0300.0325.7711.7725.98
D0.0040.0110.0854.874.157.71
E0.0070.0160.1005.902.2618.64