Open AccessResearch on Architecture Aided Design Methods and System Based on Deep Learning
Author(s) -
Jupu Yuan,
Feng Ye
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2074/1/012054
Subject(s) - deep learning , computer science , connotation , artificial intelligence , architecture , field (mathematics) , visualization , mathematics , art , philosophy , linguistics , pure mathematics , visual arts
The utilization of deep learning in the field of building aided design has broad space and potential, especially to improve the perfection of architectural design, the visualization of functionality, the construction progress and the construction cost. Based on this, this paper first analyses the concept and connotation of deep learning, then studies the utilization value of deep learning in building aided design, and finally gives the utilization strategies and meanss of deep learning in building aided design.