Open Access Library Journal

Volume 11, Issue 7 (July 2024)

ISSN Print: 2333-9705   ISSN Online: 2333-9721

Google-based Impact Factor: 1.18  Citations  

The Application of Several Optimization Models Based on BP in the Deformation Prediction of Deep Foundation Pit is Reviewed

  XML Download Download as PDF (Size: 232KB)  PP. 1-8  
DOI: 10.4236/oalib.1111800    40 Downloads   382 Views  
Author(s)

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.

Share and Cite:

Liu, Y. and Wang, X. (2024) The Application of Several Optimization Models Based on BP in the Deformation Prediction of Deep Foundation Pit is Reviewed. Open Access Library Journal, 11, 1-8. doi: 10.4236/oalib.1111800.

Cited by

No relevant information.

Copyright © 2025 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.