In order to solve the problem of inaccurate prediction
of the attitude during shield construction, a prediction method of EMDGRU
(empirical mode decompositiongated recurrent unit)
shield vertical posture based on optimal combination weighted EMDGRU is proposed. First, the acquired vertical attitude data (pitch
angle) are preprocessed; Second, in order to improve the prediction accuracy of
the model, the original data set is divided into several relatively stable subsequences based on EMD; Third, based on GRU neural network, the
prediction model for each subsequence is established
respectively; Finally, the prediction results of each subsequence are merged based on the optimal combination weighting
method to get the final prediction results of the model. In order to verify the
reliability of the established EMDGRU prediction
model, it is applied to shield construction project of Kunming metro line 5,
and the results are compared with the prediction results of GRU, SVR, and BP
models. The results show that the EMDGRU prediction
model has high prediction accuracy and generalization ability, which provides a
new idea for accurate prediction of shield attitude.
YUE Linhui, YU Xiangtao, LI Zengliang
. Prediction of Shield Vertical Attitude Based on Optimal
Combination Weighted EMDGRU[J]. Tunnel Construction, 2021
, 41(S1)
: 167
.
DOI: 10.3973/j.issn.2096-4498.2021.S1.021
