Machine learning-based optimization design workflow based on obstruction angles for building facades

vastutusandmed
Abel Sepúlveda, Nasim Eslamirad, Seyed Shahabaldin Seyed Salehi, Martin Thalfeldt, Francesco De Luca
ilmumisaasta
leheküljed
p. 15-24
konverentsi nimetus, aeg
eCAADe RIS 2023 : 9th Regional International Symposium on Education and Research in Computer Aided Architectural Design in Europe, 15-16 June 2023
konverentsi toimumispaik
Tallinn, Estonia
ISBN
9789491207365
teaduspublikatsioon
teaduspublikatsioon
keel
inglise
Sepulveda, A., Eslamirad, N., Seyed Salehi, S.S., Thalfeldt, M., De Luca, F. Machine learning-based optimization design workflow based on obstruction angles for building facades // Regenerating the City Performance-driven and Simulation-based Computational Design for Sustainable Cities and Communities : proceedings of the 9th Regional International Symposium on Education and Research in Computer Aided Architectural Design in Europe, Tallinn University of Technology, 15-16 June 2023. : eCAADe, Tallinn University of Technology, 2023. p. 15-24. https://digikogu.taltech.ee/et/Item/c29fc911-ec34-45da-afe6-bc1e8515e15d