A platform for research: civil engineering, architecture and urbanism
Application of neural networks in architectural design
The article discusses the currently topical issue of neural networks and their applications in architecture. The history of emergence and development of neural networks is overviewed, and the creation of the first prototypes that are functionally close to modern ones is analyzed. The applications of machine learning based on neural networks in the field of architectural design are identified, and a number of the most widely used methods of their use are considered. In conclusion, the methods of using machine learning for algorithmizing architectural design that have already been implemented and are relatively widespread in design consultancies are considered in more detail.
Application of neural networks in architectural design
The article discusses the currently topical issue of neural networks and their applications in architecture. The history of emergence and development of neural networks is overviewed, and the creation of the first prototypes that are functionally close to modern ones is analyzed. The applications of machine learning based on neural networks in the field of architectural design are identified, and a number of the most widely used methods of their use are considered. In conclusion, the methods of using machine learning for algorithmizing architectural design that have already been implemented and are relatively widespread in design consultancies are considered in more detail.
Application of neural networks in architectural design
Belash Evgeniya V. (author) / Kim Anton A. (author)
2024
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Human-Computer Interaction and Neural Networks in Architectural Design
British Library Conference Proceedings | 1997
|Associative Synthesis with Deep Neural Networks for Architectural Design
Springer Verlag | 2023
|British Library Conference Proceedings | 1998
|Revisiting Neural Networks for Continual Learning: An Architectural Perspective
ArXiv | 2024
|