Neural networks in the initial stage of the architectural design process

Authors

  • Karina Acosta-Caipa Universidad Nacional Jorge Basadre Grohmann Tacna, Perú
  • Jorge Espinoza-Molina Universidad Nacional Jorge Basadre Grohmann Tacna, Perú

DOI:

https://doi.org/10.15443/codes2070

Keywords:

space and architecture, methodology

Abstract

This study shows the use of artificial intelligence in the architectural design process as an initial source of inspiration in the conceptual design methodology and how it has evolved over time.
The purpose of the study is to know the results of the incorporation into the architectural design methodology of neural networks as an instrument in the project cycle applied to 1st year architecture students. The results
show the usefulness of the instrument in the initial stage of the design, giving importance to the creation of their ideas as a graphic element of the first-born expression. The participants highlight the importance of visual communication in the interpretation of their ideas as well as the development of their skills in a short time, concluding the possibility of incorporating new techniques in the design process of the conceptual space, being a field very broad in which to continue investigating.

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Published

2023-11-08

How to Cite

Acosta-Caipa, K. ., & Espinoza-Molina, . J. . (2023). Neural networks in the initial stage of the architectural design process. Higher Education Teaching Congress CODES, 5. https://doi.org/10.15443/codes2070