TITLE:
The Application of Several Optimization Models Based on BP in the Deformation Prediction of Deep Foundation Pit is Reviewed
AUTHORS:
Ying Liu, Xuya Wang
KEYWORDS:
Intelligent Optimization Algorithm, Civil Engineering, Geotechnical Engineering, Foundation Pit Deformation Prediction
JOURNAL NAME:
Open Access Library Journal,
Vol.11 No.7,
July
26,
2024
ABSTRACT: In this paper, based on the BP neural network, several main optimization models in the prediction of foundation pit deformation are analyzed, including GA-BP, PSO-BP, SSA-BP, ACO-BP prediction models. Several different models predict the deformation during the construction of the foundation pit, and clarify the advantages and disadvantages of different models and the advantages of integrating the algorithm into the deformation prediction of deep foundation pits in civil engineering.