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_id	cf2019_010
id	cf2019_010
authors	Lorenz, Clara-Larissa; Bleil De Souza, Spaeth and Packianather
year	2019
title	Machine Learning in Design Exploration: An Investigation of the Sensitivities of ANN-based Daylight Predictions
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 75-87
summary	The use of Artificial Neural Networks (ANNs) promises greater efficiency in the assessment of daylight situations than simulations. With the daylight factor under scrutiny and the recent adaptation of climate-based daylight metrics in British and European buildings standards, ANNs provide a possibility for instantaneous feedback on otherwise time-consuming performance metrices. This study demonstrates the application of ANNs as prediction systems in design exploration. A specific focus of the research is the flexibility of ANNs, their reliability and sensitivity to changes.
keywords	Artificial neural networks, atria, climate-based daylight modeling, daylight autonomy, daylight performance, parametric design
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	ecaadesigradi2019_050
id	ecaadesigradi2019_050
authors	Lorenz, Wolfgang and Wurzer, Gabriel
year	2019
title	Visual Representation of Adjacencies - A NetLogo application to turn functional matrices into bubble diagrams
doi	https://doi.org/10.52842/conf.ecaade.2019.2.011
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 11-20
summary	This paper is based on the assumption that a key challenge of good design is spatial organization as a result of functional requirements. The authors present a new NetLogo application that assists designers in understanding proposed functional relationships (of spaces) by visualizing them graphically. In more detail, the tool translates adjacency matrices (as representation of functional relationships) into a graph (in architecture known as bubble diagram). The latter can be considered as a pre-step of the actual design, by which the information about functional interrelations becomes more readable and understandable for the designer.
keywords	Adjacency; Bubble Diagram; NetLogo; Visual Representation
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:59

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