Research Article

Prediction Method of TBM Tunneling Parameters Based on Bi-GRU-ATT Model

Table 2

Comparison of evaluation indexes of prediction results among different recurrent neural network models.

ModelParameter

Bi-GRU-ATTTotal thrust1.010.925151.52193.62
Penetration1.600.9300.150.20
Cutterhead torque1.400.93631.3044.44
Cutterhead power1.710.94434.1334.75

Bi-GRUTotal thrust1.110.915146.35184.23
Penetration2.050.8980.200.26
Cutterhead torque1.840.90952.6567.00
Cutterhead power2.130.88438.3046.02

GRUTotal thrust1.210.859196.68280.99
Penetration2.470.8670.230.27
Cutterhead torque2.260.87960.8773.37
Cutterhead power2.520.87048.4150.95

LSTMTotal thrust1.440.870205.60252.02
Penetration2.970.8400.270.32
Cutterhead torque2.040.88955.8867.97
Cutterhead power2.70.86044.6152.89