عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
TLpq2236474878
انگلیسی
Hybrid Elevations Using GAN Networks
[Thesis]
Mohammad, Ali S. A. Q.
Beorkrem, Chris
The University of North Carolina at Charlotte
2019
58
M.Arch.
The University of North Carolina at Charlotte
2019
This project attempts to develop and test a method for generating one-sided hybrid exterior building elevations using two designer's base criteria and design ruleset as an input. Architects are using computational design to expedite the iteration process in an efficient manner. Optimization techniques utilizing genetic solvers within the architectural 3D model space have been around for the past decade. However, with the introduction of artificial intelligence the computational design niche within the architectural field can be expanded on. Generative Adversarial Networks (GAN) are used in this research to demonstrate artificial intelligence capabilities in the computational design realm. Can GAN networks dream of hybrid architectural elevations?
Architecture
Artificial intelligence
Design
Beorkrem, Chris
Mohammad, Ali S. A. Q.
مطالعه متن کتاب p
[Thesis]
276903
a
Y
