Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Artificial intelligence in architecture: Generating conceptual design via deep learning
Artificial intelligence, and in particular machine learning, is a fast-emerging field. Research on artificial intelligence focuses mainly on image-, text- and voice-based applications, leading to breakthrough developments in self-driving cars, voice recognition algorithms and recommendation systems. In this article, we present the research of an alternative graph-based machine learning system that deals with three-dimensional space, which is more structured and combinatorial than images, text or voice. Specifically, we present a function-driven deep learning approach to generate conceptual design. We trained and used deep neural networks to evaluate existing designs encoded as graphs, extract significant building blocks as subgraphs and merge them into new compositions. Finally, we explored the application of generative adversarial networks to generate entirely new and unique designs.
Artificial intelligence in architecture: Generating conceptual design via deep learning
Artificial intelligence, and in particular machine learning, is a fast-emerging field. Research on artificial intelligence focuses mainly on image-, text- and voice-based applications, leading to breakthrough developments in self-driving cars, voice recognition algorithms and recommendation systems. In this article, we present the research of an alternative graph-based machine learning system that deals with three-dimensional space, which is more structured and combinatorial than images, text or voice. Specifically, we present a function-driven deep learning approach to generate conceptual design. We trained and used deep neural networks to evaluate existing designs encoded as graphs, extract significant building blocks as subgraphs and merge them into new compositions. Finally, we explored the application of generative adversarial networks to generate entirely new and unique designs.
Artificial intelligence in architecture: Generating conceptual design via deep learning
As, Imdat (Autor:in) / Pal, Siddharth (Autor:in) / Basu, Prithwish (Autor:in)
International Journal of Architectural Computing ; 16 ; 306-327
01.12.2018
22 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Artificial Intelligence Applied to Conceptual Design. A Review of Its Use in Architecture
| BASE | 2021
Neural architecture : design and artificial intelligence
| TIBKAT | 2022