Machine learning-based optimization design workflow based on obstruction angles for building facades
autor
vastutusandmed
Abel Sepúlveda, Nasim Eslamirad, Seyed Shahabaldin Seyed Salehi, Martin Thalfeldt, Francesco De Luca
kirjastus/väljaandja
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
märksõna
võtmesõna
ISBN
9789491207365
teaduspublikatsioon
teaduspublikatsioon
klassifikaator
TTÜ struktuuriüksus
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