CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id ecaade2018_w12
authors Rahbar, Morteza
year 2018
title Application of Artificial Intelligence in Architectural Generative Design
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 71-72
summary In this workshop, data-driven models will be discussed and how they could change the way architects think, design and analyse. Both supervised and unsupervised learning models will be discussed and different projects will be referred as examples. Deep learning models are the third part of the workshop and more specifically, Generative Adversarial Networks will be mentioned in more detail. The GAN's open a new field of generative models in design which is based on data-driven process and we will go into detail with GANs, their branches and how we could test a sample architecture generative problem with GANs.
keywords Artificial Intelligence; Machine Learning; Generative Design; Knowledge based Design; GAN
series eCAADe
email rahbar@arch.ethz.ch
full text file.pdf (65,045 bytes)
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100%; open Ahmed, S (2012) Find in CUMINCAD Automatic room detection and room labeling from architectural floor plans. in Document Analysis Systems , 10th IAPR International Workshop on. 2012. IEEE

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