Research on the Intelligent Auxiliary Design of Subway Station Building Space Based on Deep Learning

Research on the Intelligent Auxiliary Design of Subway Station Building Space Based on Deep Learning

In recent years, deep learning methods have been used with increasing frequency to solve architectural design problems. This paper aims to study the spatial functional layout of deep learning-assisted generation subway stations. Using the PointNet++ model, the subway station point cloud data are tra...

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Bibliographic Details
Main Authors: Jiang An, Jiuhong Zhang, Mingxiao Ma
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
deep learning
architectural design
subway station space
PointNet++
convolutional neural networks
Online Access:https://www.mdpi.com/2076-3417/13/16/9242

Internet

https://www.mdpi.com/2076-3417/13/16/9242

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