<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

Data publikacji: 22 cze 2023

Zakres stron: 2607 - 2616

Otrzymano: 27 wrz 2022

Przyjęty: 26 gru 2022

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

Słowa kluczowe
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

Data publikacji: 22 cze 2023

Zakres stron: 2607 - 2616

Otrzymano: 27 wrz 2022

Przyjęty: 26 gru 2022

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

Słowa kluczoweDeep 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.

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