BIM Model Design of Deep Foundation Pit Engineering Based on BP Network-Reference-Cited by-同舟云学术

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

Published:2023-06-22 Issue:2 Volume:8 Page:2607-2616
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Chenghui Wei¹,Hao Chen¹,Di Wu¹

Affiliation:

1. 1 Chongqing Vocational College of Science and Creation , Yongchuan, Chongqing, 402160 , China .

Abstract

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.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Link

https://www.sciendo.com/pdf/10.2478/amns.2023.1.00441

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