基于多头自注意力-Bi-LSTM模型的盾构掘进引发的土体沉降预测
杨明辉,宋牧原,付大喜,郭炎伟,卢贤锥,张文聪,郑伟龙

Prediction of shield tunneling-induced soil settlement based on multi-head self-attention-Bi-LSTM model
Minghui YANG,Muyuan SONG,Daxi FU,Yanwei GUO,Xianzhui LU,Wencong ZHANG,Weilong ZHENG
表 5 不同深度学习模型的土体沉降预测性能指标对比(案例1)
Tab.5 Comparison of soil settlement prediction performance metrics across different deep learning models (case 1)
监测点模型MSE/mmMAE/mmMAPE/%
Y310.01420.11161.9
20.04820.20603.5
30.15010.36616.2
Y410.00460.06080.8
20.04220.19092.5
30.08110.25713.3
Y510.00610.07661.1
20.01340.10991.6
30.02530.12411.8