Abstract：This study proposes an intelligent architectural conceptual design (IACD) method driven by deep learning. Through the mathematical logic analysis of architectural conceptual design and the comparative analysis of architectural design and deep learning, the paper summarizes the principle of IACD, introduces the implementation method and design process, develops the intelligent design system, and shows three design functions of IACD. The paper takes different design tasks as examples to verify the feasibility of the proposed method, in order to provide inspiration and reference for the development of intelligent architectural design.
曲大刚，孙澄*，黄茜. 深度学习驱动的建筑概念方案智能设计研究[J]. 新建筑, 2021, 39(6): 78-82.
QU Dagang,SUN Cheng,HUANG Xi. Research on Intelligent Architectural Conceptual Design Driven by Deep Learning. New Architecture, 2021, 39(6): 78-82.
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