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 1 不同深度学习模型的超参数配置
Tab.1 Hyperparameter configuration of different deep learning models
参数数值
MHSA-Bi-LSTMSA-Bi-LSTMBi-LSTM
L1-Nu32 (MHSA1)64 (SA1)
L1-NH6464128
L2-Nu64 (MHSA2)128 (SA2)
L2-NH128128128
学习率0.010.010.01
Dropout0.50.40.5
批大小12812864
迭代次数200175150
计算时间/s618536447