<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>It is of great significance to predict the multistage deformation of the foundation pit. A new neural network method is proposed in this paper. The disadvantages of the BP neural network multistage forecast method are discussed. A multistage recursive neural network model for foundation deformation prediction is established. They are taking a deep foundation pit project in the soft soil area as an example. The multistage deformation prediction method is verified in this paper. This new detection technique is feasible. This method can also be used for multistage forecasting.</p>
</abstract>

It is of great significance to predict the multistage deformation of the foundation pit. A new neural network method is proposed in this paper. The disadvantages of the BP neural network multistage forecast method are discussed. A multistage recursive neural network model for foundation deformation prediction is established. They are taking a deep foundation pit project in the soft soil area as an example. The multistage deformation prediction method is verified in this paper. This new detection technique is feasible. This method can also be used for multistage forecasting.

BIM Model Design of Deep Foundation Pit Engineering Based on BP Network

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"BIM Model Design of Deep Foundation Pit Engineering Based on BP Network"}

It is of great significance to predict the multistage deformation of the foundation pit. A new neural network method is proposed in this paper. The...

BIM Model Design of Deep Foundation Pit Engineering Based on BP Network

Online veröffentlicht: 22. Juni 2023

Seitenbereich: 2607 - 2616

Eingereicht: 27. Sept. 2022

Akzeptiert: 26. Dez. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00441

Schlüsselwörter
Deep foundation pit, Recursive neural network, Multi-step deformation prediction, Engineering design

© 2023 Wei Chenghui et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

BIM Model Design of Deep Foundation Pit Engineering Based on BP Network

Online veröffentlicht: 22. Juni 2023

Seitenbereich: 2607 - 2616

Eingereicht: 27. Sept. 2022

Akzeptiert: 26. Dez. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00441

SchlüsselwörterDeep foundation pit, Recursive neural network, Multi-step deformation prediction, Engineering design

© 2023 Wei Chenghui et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Deep foundation pit, Recursive neural network, Multi-step deformation prediction, Engineering design